Full Stack Software Developer – East Midlands Pay Rate to Umbrella: Up to £550 per day Security Clearance: DBS CV Deadline: Monday 25th at 13:00 Interview Process: 1 stage teams Headcount: 1 Digital/Non Digital: Digital Contracting Authority: NHS Arden and Greater East Midlands Commissioning Support Unit Contract Length: 6 months Location: remote IR35: Inside Minimum Requirement: Arden & GEM CSU is searching for a talented individual to support our Systems and Reporting Team. The applicant will have at least 3 years experience developing .NET based web systems and should be familiar with working in the Azure Cloud. Significant experience in the following; .NET Web Development Automated deployment (CI/CD) Microsoft SQL Server Azure Cloud based Technologies Build web based customer facing systems Debugging complex problems Design and implement a web based system from the ground up 1. Excellent programming skills in .Net using C#, MVC, Entity Framework, Web API. Visual Studio IDE. Web Hosting / IIS. OAuth 2.0 /OpenID Connect. 2. .NET Core Web Development - C# 3. Bootstrap Responsive Web Design, HTML 5, CSS, JavaScript, Angular Framework 4. Microsoft Azure Cloud 5. Azure Dev Ops (CI/CD) 6. OAuth 2.0 / OIDC 7. Understanding of OOP design and modelling techniques. 8. Microsoft SQL Server 9. XUnit Testing Framewaork 10. AGILE working practices 11. Good communication and interpersonal skills, including the ability to provide detailed and technical advice to both specialists and non-technical staff and customers. 12. Excellent written, presentation and verbal skills. Degree in Computing Science or equivalent knowledge and experience gained through working at a similar level in specialist area Designs, runs and improves software that meets user needs. Responsible for writing clean, secure code following a test-driven approach; create code that is open by default and easy for others to reuse. Lead development on one or a small number of related project teams. Be proficient in a wide range of technical systems; be involved in identifying appropriate technology and approaches, deciding when software should be written; contribute to the developer community; provide technical leadership; promote knowledge sharing and adoption of good practice. Typical Skills: Manage the service components to ensure they meet business needs and performance targets. Identify process optimisation opportunities. Designing solutions and services with security controls embedded, specifically engineered as mitigation against security threats. Demonstrate strong understanding and application of the most appropriate modern standards. Advise on the right way to apply standards and methods, ensuring compliance. Maintain technical responsibility for all the stages and iterations of a software development project. Know a variety of methods of prototyping and can choose the most appropriate ones. Review the systems designs of others to ensure selection of appropriate technology. Coordinate build activities across systems and understand how to undertake and support integration-testing activities. Know how to prioritise and define approaches to understand the user story, guiding others in doing so. You can offer recommendations on the best tools and methods to be used.
Apr 22, 2022
Contractor
Full Stack Software Developer – East Midlands Pay Rate to Umbrella: Up to £550 per day Security Clearance: DBS CV Deadline: Monday 25th at 13:00 Interview Process: 1 stage teams Headcount: 1 Digital/Non Digital: Digital Contracting Authority: NHS Arden and Greater East Midlands Commissioning Support Unit Contract Length: 6 months Location: remote IR35: Inside Minimum Requirement: Arden & GEM CSU is searching for a talented individual to support our Systems and Reporting Team. The applicant will have at least 3 years experience developing .NET based web systems and should be familiar with working in the Azure Cloud. Significant experience in the following; .NET Web Development Automated deployment (CI/CD) Microsoft SQL Server Azure Cloud based Technologies Build web based customer facing systems Debugging complex problems Design and implement a web based system from the ground up 1. Excellent programming skills in .Net using C#, MVC, Entity Framework, Web API. Visual Studio IDE. Web Hosting / IIS. OAuth 2.0 /OpenID Connect. 2. .NET Core Web Development - C# 3. Bootstrap Responsive Web Design, HTML 5, CSS, JavaScript, Angular Framework 4. Microsoft Azure Cloud 5. Azure Dev Ops (CI/CD) 6. OAuth 2.0 / OIDC 7. Understanding of OOP design and modelling techniques. 8. Microsoft SQL Server 9. XUnit Testing Framewaork 10. AGILE working practices 11. Good communication and interpersonal skills, including the ability to provide detailed and technical advice to both specialists and non-technical staff and customers. 12. Excellent written, presentation and verbal skills. Degree in Computing Science or equivalent knowledge and experience gained through working at a similar level in specialist area Designs, runs and improves software that meets user needs. Responsible for writing clean, secure code following a test-driven approach; create code that is open by default and easy for others to reuse. Lead development on one or a small number of related project teams. Be proficient in a wide range of technical systems; be involved in identifying appropriate technology and approaches, deciding when software should be written; contribute to the developer community; provide technical leadership; promote knowledge sharing and adoption of good practice. Typical Skills: Manage the service components to ensure they meet business needs and performance targets. Identify process optimisation opportunities. Designing solutions and services with security controls embedded, specifically engineered as mitigation against security threats. Demonstrate strong understanding and application of the most appropriate modern standards. Advise on the right way to apply standards and methods, ensuring compliance. Maintain technical responsibility for all the stages and iterations of a software development project. Know a variety of methods of prototyping and can choose the most appropriate ones. Review the systems designs of others to ensure selection of appropriate technology. Coordinate build activities across systems and understand how to undertake and support integration-testing activities. Know how to prioritise and define approaches to understand the user story, guiding others in doing so. You can offer recommendations on the best tools and methods to be used.
Senior Software Engineer, Embedded Graphics Drivers corporate_fare Google place London, UK Apply Candidates will typically have 5 years of experience with software development in C and C++, and with data structures/algorithms. Experience in Unix/Linux environments and embedded Linux. Experience in technical leadership, leading project teams, and setting technical direction. Preferred qualifications: Experience in Mobile GPU and/or GPU programming. Knowledge of one or more of the following: graphics driver platform integration (e.g., kernel drivers), and GPU power management software. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. In this role, you will have the opportunity to develop and build out our trace in consumer hardware/software. You will create gaming experiences, contribute to smooth user interfaces, accelerate interactive viewfinders for the latest in camera image enhancement, specify, build, and launch mobile devices in line with Google objectives, and lay the low-level groundwork across the company.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. Responsibilities Develop GPU graphics and compute technologies spanning the full GPU software stack. Work with Product and Engineering teams to define the role and requirements of the GPU in future product designs. Advise Android and Pixel leadership on performance and feature opportunities in graphics software, and scope solutions with partner teams. Manage and support members of the team and lead them technically in their personal development. Developgeneral solutions to problems, minimizing applications or device-specific workarounds to serve users of all Pixel devices. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Apr 20, 2024
Full time
Senior Software Engineer, Embedded Graphics Drivers corporate_fare Google place London, UK Apply Candidates will typically have 5 years of experience with software development in C and C++, and with data structures/algorithms. Experience in Unix/Linux environments and embedded Linux. Experience in technical leadership, leading project teams, and setting technical direction. Preferred qualifications: Experience in Mobile GPU and/or GPU programming. Knowledge of one or more of the following: graphics driver platform integration (e.g., kernel drivers), and GPU power management software. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. In this role, you will have the opportunity to develop and build out our trace in consumer hardware/software. You will create gaming experiences, contribute to smooth user interfaces, accelerate interactive viewfinders for the latest in camera image enhancement, specify, build, and launch mobile devices in line with Google objectives, and lay the low-level groundwork across the company.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. Responsibilities Develop GPU graphics and compute technologies spanning the full GPU software stack. Work with Product and Engineering teams to define the role and requirements of the GPU in future product designs. Advise Android and Pixel leadership on performance and feature opportunities in graphics software, and scope solutions with partner teams. Manage and support members of the team and lead them technically in their personal development. Developgeneral solutions to problems, minimizing applications or device-specific workarounds to serve users of all Pixel devices. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
The Team Machine Learning Technology is a small and agile team that facilitates the use of machine learning tools across the firm, with a particular focus on generative AI. Alongside developing and provisioning the platform, you'll also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As an engineer in the ML Technology team, you'll help to develop a cutting-edge platform, collaborating closely with company-wide teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space. This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. The Technology Core systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries used extensively. For storage, they rely heavily on MongoDB. They use Docker, Kubernetes and Airflow to streamline deployments and leverage OpenFin and React for front-end development. Because of the small team size and the dynamic nature of the business, technology choices are not static and team members can explore new technologies freely. This means you will be able to shape the technology landscape and have a high impact early on. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how they're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Excellent interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
Apr 20, 2024
Full time
The Team Machine Learning Technology is a small and agile team that facilitates the use of machine learning tools across the firm, with a particular focus on generative AI. Alongside developing and provisioning the platform, you'll also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As an engineer in the ML Technology team, you'll help to develop a cutting-edge platform, collaborating closely with company-wide teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space. This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. The Technology Core systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries used extensively. For storage, they rely heavily on MongoDB. They use Docker, Kubernetes and Airflow to streamline deployments and leverage OpenFin and React for front-end development. Because of the small team size and the dynamic nature of the business, technology choices are not static and team members can explore new technologies freely. This means you will be able to shape the technology landscape and have a high impact early on. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how they're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Excellent interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
The Team Machine Learning Technology is a small and agile team that facilitates the use of m achine l earning tools across Man Group , with a particular focus on generative AI. Alongside developing and provisioning the platform, we also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As a n engineer in the Machine Learning Technology team, you will help to develop a cutting-edge platform used by teams across Man Group. Your role will involve collaborating closely with these teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space . This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. Our Technology Our platform utilises Python for the backend and for developer APIs, with the frontend tooling written using TypeScript and React. Our development and production environments are based on Linux and the teams we work a nd collaborate with will typically be heavy users of the Python scientific stac k . We also engage with teams who work primarily in Java or C#. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology . See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. quant tech We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, a make r -space and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Demo n strable e nthusiasm for AI engineering and harnessing it to create impact ; stays up to date with major advancements in AI tools and models A proponent of collaborative software engineering techniques and methods Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Advantageou s Experience with language processing techniques or toolkits such as NLTK Experience designing or utilising document search tools Experience utilising or fine-tuning generative models ( e.g. large language models or diffusion-based models) Experience building and deploying data visualisation tools Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Excellent interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Apr 20, 2024
Full time
The Team Machine Learning Technology is a small and agile team that facilitates the use of m achine l earning tools across Man Group , with a particular focus on generative AI. Alongside developing and provisioning the platform, we also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As a n engineer in the Machine Learning Technology team, you will help to develop a cutting-edge platform used by teams across Man Group. Your role will involve collaborating closely with these teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space . This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. Our Technology Our platform utilises Python for the backend and for developer APIs, with the frontend tooling written using TypeScript and React. Our development and production environments are based on Linux and the teams we work a nd collaborate with will typically be heavy users of the Python scientific stac k . We also engage with teams who work primarily in Java or C#. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology . See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. quant tech We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, a make r -space and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Demo n strable e nthusiasm for AI engineering and harnessing it to create impact ; stays up to date with major advancements in AI tools and models A proponent of collaborative software engineering techniques and methods Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Advantageou s Experience with language processing techniques or toolkits such as NLTK Experience designing or utilising document search tools Experience utilising or fine-tuning generative models ( e.g. large language models or diffusion-based models) Experience building and deploying data visualisation tools Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Excellent interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
The Team Alternative Discretionary Technology is a small and agile team that works very closely with the front-office teams in the UK as well as the US for Man's discretionary strategies that operate in non-traditional markets. We develop and support a number of platforms for underwriting and ongoing management of private market assets like buy-to-rent housing portfolios, real estate debt and credit risk. As a developer in Alt Discretionary Tech, you will develop and deploy features for every system that we've built as you communicate requirements and issues with the front-office teams in a way that is markedly different to dealing with exchange-listed securities. Dealing with Real Assets means working with tangible things like properties that have real-world physical and human interactions to cater for in our financial models. Quant technology in private and alternative markets is a rapidly growing space in which Man is demonstrably on the cutting edge so there are opportunities here to make significant contributions in shaping this alongside the investment teams. Our Technology The target technology stack is on Linux with the majority of the code written in Python, using the full scientific stack like pandas and scikit-learn. We also have C# integrations with Excel, and several web-based tools using a variety of languages and frameworks like React, Streamlit, FastAPI, Django, modern Angular and PHP. We are heavy users of Man's own high performance proprietary database ArcticDB, alongside traditional RDBMS'. Generative AI forms a growing part of our estate as it rapidly evolves and we find more use-cases in automation for our stakeholders. All our code is deployed using Kubernetes and modern cluster computing frameworks. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as a make-space, tech lending library and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience in private market investment - for example real estate and private debt Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Team mentoring experience; as a senior engineer you will be able to support and teach junior quants the best practices in software development and financial engineering. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Apr 20, 2024
Full time
The Team Alternative Discretionary Technology is a small and agile team that works very closely with the front-office teams in the UK as well as the US for Man's discretionary strategies that operate in non-traditional markets. We develop and support a number of platforms for underwriting and ongoing management of private market assets like buy-to-rent housing portfolios, real estate debt and credit risk. As a developer in Alt Discretionary Tech, you will develop and deploy features for every system that we've built as you communicate requirements and issues with the front-office teams in a way that is markedly different to dealing with exchange-listed securities. Dealing with Real Assets means working with tangible things like properties that have real-world physical and human interactions to cater for in our financial models. Quant technology in private and alternative markets is a rapidly growing space in which Man is demonstrably on the cutting edge so there are opportunities here to make significant contributions in shaping this alongside the investment teams. Our Technology The target technology stack is on Linux with the majority of the code written in Python, using the full scientific stack like pandas and scikit-learn. We also have C# integrations with Excel, and several web-based tools using a variety of languages and frameworks like React, Streamlit, FastAPI, Django, modern Angular and PHP. We are heavy users of Man's own high performance proprietary database ArcticDB, alongside traditional RDBMS'. Generative AI forms a growing part of our estate as it rapidly evolves and we find more use-cases in automation for our stakeholders. All our code is deployed using Kubernetes and modern cluster computing frameworks. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as a make-space, tech lending library and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience in private market investment - for example real estate and private debt Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Team mentoring experience; as a senior engineer you will be able to support and teach junior quants the best practices in software development and financial engineering. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team AHL Portfolio Management is responsible for all of AHL's fund optimisation and allocation research along with monitoring our fund performance and reviewing our quant process. As a quantitative developer in the PM Tech team, you will be working on AHL's simulation, analytics, and reporting infrastructure; for monitoring our gearing, allocations and implementation shortfall; along with developing and supporting our production optimisers and the engineering needed to implement any outcomes of Portfolio Management research. The ideal candidate will have a strong understanding of financial markets, a solid grasp of portfolio analytics, an interest in analysing strategy and fund performance, and is familiar with the concepts of statistics and optimisation. This is a front office facing role, working closely with quantitative researchers and developers across multiple teams. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, along with various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Expert knowledge in Python Experience of signal research implementation Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Understands portfolio optimization and risk leveraging optimization workflows Experience with trade automation and order generation Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes Strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities. Demonstrable passion for technology e.g. personal projects, open-source involvement. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Apr 20, 2024
Full time
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team AHL Portfolio Management is responsible for all of AHL's fund optimisation and allocation research along with monitoring our fund performance and reviewing our quant process. As a quantitative developer in the PM Tech team, you will be working on AHL's simulation, analytics, and reporting infrastructure; for monitoring our gearing, allocations and implementation shortfall; along with developing and supporting our production optimisers and the engineering needed to implement any outcomes of Portfolio Management research. The ideal candidate will have a strong understanding of financial markets, a solid grasp of portfolio analytics, an interest in analysing strategy and fund performance, and is familiar with the concepts of statistics and optimisation. This is a front office facing role, working closely with quantitative researchers and developers across multiple teams. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, along with various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Expert knowledge in Python Experience of signal research implementation Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Understands portfolio optimization and risk leveraging optimization workflows Experience with trade automation and order generation Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes Strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities. Demonstrable passion for technology e.g. personal projects, open-source involvement. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Summary: Leading technical contributor to the enhancement and maintenance of Over the Counter (Derivatives) platform in Charles River IMS. Provide engineering troubleshooting assistance to customer support teams and other development teams within Charles River. Responsibilities: Drive technical excellence by working independently to analyze, design, develop, test, and debug large and complex software enhancements and solutions within Charles River's business and technical problem domains including modifications to core frameworks and other primary facilities critical to system operation Collaborate with Business Analysts and Product Managers to create simple and sustainable software solutions for complex problems Provide thought leadership in the design of product architecture within and beyond the team's scope of responsibility Direct problem solving for projects or major phases of projects to resolve advanced software technical issues Develop, test, debug, and implement software programs, applications and projects using Java, C#, SQL, JavaScript, or other related software engineering languages as well as keeping abreast of emerging technologies impactful to CRDs business Provide informed guidance and critical analysis of proposed changes during code reviews Write unit and automation tests to ensure a high quality end product Identify ways of improving development test methodologies contribute to and related test methodology frameworks Conduct manual tests to ensure a high quality end product Provide expert level troubleshooting on large, mission critical client implementations Actively assist team leaders in the agile software development process by adhering to and advancing the CRD scrum methodology, including attending all daily standups, sprint planning, backlog grooming, and retrospectives Plan and coordinate cross-team activities groups to complete assignments Advise senior management on technical strategy Provide mentoring to junior and senior staff Qualifications: Education: B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred. Experience: A minimum of 5 years of progressively responsible professional software engineering experience A minimum of 3 years of experience in financial services developing solutions for Portfolio Management, Trading, Compliance, Post-Trade, IBOR or Wealth Management is strongly desired Authoritative experience with object-oriented programming, compiler or interpreter technologies, embedded systems, operating systems, relational databases (RDBMS), scripting and new/advanced programming languages Demonstrated experience with working on Microservices Architecture and Cloud hosted application Demonstrated problem solving abilities involving multi-tiered, high-performance database applications Demonstrated ability to design and develop simple software solutions to business and technical problems of high complexity Outstanding written and verbal communication skills Able to work well with peers in a collaborative team environment A minimum of 5 years working with an Agile development methodology
Apr 20, 2024
Full time
Summary: Leading technical contributor to the enhancement and maintenance of Over the Counter (Derivatives) platform in Charles River IMS. Provide engineering troubleshooting assistance to customer support teams and other development teams within Charles River. Responsibilities: Drive technical excellence by working independently to analyze, design, develop, test, and debug large and complex software enhancements and solutions within Charles River's business and technical problem domains including modifications to core frameworks and other primary facilities critical to system operation Collaborate with Business Analysts and Product Managers to create simple and sustainable software solutions for complex problems Provide thought leadership in the design of product architecture within and beyond the team's scope of responsibility Direct problem solving for projects or major phases of projects to resolve advanced software technical issues Develop, test, debug, and implement software programs, applications and projects using Java, C#, SQL, JavaScript, or other related software engineering languages as well as keeping abreast of emerging technologies impactful to CRDs business Provide informed guidance and critical analysis of proposed changes during code reviews Write unit and automation tests to ensure a high quality end product Identify ways of improving development test methodologies contribute to and related test methodology frameworks Conduct manual tests to ensure a high quality end product Provide expert level troubleshooting on large, mission critical client implementations Actively assist team leaders in the agile software development process by adhering to and advancing the CRD scrum methodology, including attending all daily standups, sprint planning, backlog grooming, and retrospectives Plan and coordinate cross-team activities groups to complete assignments Advise senior management on technical strategy Provide mentoring to junior and senior staff Qualifications: Education: B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred. Experience: A minimum of 5 years of progressively responsible professional software engineering experience A minimum of 3 years of experience in financial services developing solutions for Portfolio Management, Trading, Compliance, Post-Trade, IBOR or Wealth Management is strongly desired Authoritative experience with object-oriented programming, compiler or interpreter technologies, embedded systems, operating systems, relational databases (RDBMS), scripting and new/advanced programming languages Demonstrated experience with working on Microservices Architecture and Cloud hosted application Demonstrated problem solving abilities involving multi-tiered, high-performance database applications Demonstrated ability to design and develop simple software solutions to business and technical problems of high complexity Outstanding written and verbal communication skills Able to work well with peers in a collaborative team environment A minimum of 5 years working with an Agile development methodology
The Role We are seeking a highly motivated and experienced engineer to join the Data Engineering team within Man Platform Technology. You will have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities including onboarding, analysis, sourcing, quality checking, and lifecycle management. We don't just have a standard data warehouse - our data estate is varied and highly optimised to deliver the needs of the business. Your challenges will be varied, involving: Developing and maintaining core tools for analysts, quants, and engineers to on-board and analyse datasets at multi-terabyte-scale. Collaborating with the Man Data Science team as we design and develop unique, bespoke solutions to solve their big data challenges. Designing and implementing strategies and tools to monitor and validate the data quality for thousands of datasets in use at Man Group. Working with front office engineering teams as they leverage our data platform. Discovering and leveraging best-in-market 3rd party tools and cloud technologies that can help to optimise the full data pipeline from scouting to trading. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential Extensive programming experience, ideally in Python Knowledge of the challenges of dealing with large data sets, both structured and unstructured Knowledge of modern practices for ETL, data engineering and stream processing Proficient on Linux platforms with knowledge of various scripting languages Working knowledge of one or more relevant database technologies e.g. MongoDB, PostgreSQL, Snowflake, Oracle Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Spark, Jupyter Advantageous Prior experience of working with financial market data or alternative data Relevant mathematical knowledge e.g. statistics, time-series analysis Experience in data visualisation and building web apps in modern frameworks e.g. React Experience with git Prior experience with AWS Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with analysts, quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Apr 20, 2024
Full time
The Role We are seeking a highly motivated and experienced engineer to join the Data Engineering team within Man Platform Technology. You will have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities including onboarding, analysis, sourcing, quality checking, and lifecycle management. We don't just have a standard data warehouse - our data estate is varied and highly optimised to deliver the needs of the business. Your challenges will be varied, involving: Developing and maintaining core tools for analysts, quants, and engineers to on-board and analyse datasets at multi-terabyte-scale. Collaborating with the Man Data Science team as we design and develop unique, bespoke solutions to solve their big data challenges. Designing and implementing strategies and tools to monitor and validate the data quality for thousands of datasets in use at Man Group. Working with front office engineering teams as they leverage our data platform. Discovering and leveraging best-in-market 3rd party tools and cloud technologies that can help to optimise the full data pipeline from scouting to trading. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential Extensive programming experience, ideally in Python Knowledge of the challenges of dealing with large data sets, both structured and unstructured Knowledge of modern practices for ETL, data engineering and stream processing Proficient on Linux platforms with knowledge of various scripting languages Working knowledge of one or more relevant database technologies e.g. MongoDB, PostgreSQL, Snowflake, Oracle Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Spark, Jupyter Advantageous Prior experience of working with financial market data or alternative data Relevant mathematical knowledge e.g. statistics, time-series analysis Experience in data visualisation and building web apps in modern frameworks e.g. React Experience with git Prior experience with AWS Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with analysts, quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
About the Position Exciting opportunity to work at a tech-centric prop trading fund as a Production Engineer. At this firm, Production Engineers are software developers who spend time both developing software and also providing high quality support for software systems that are critical to the trading business. Many of their Production Engineers are embedded in various software teams; others are in standalone teams. In both situations, you'll work alongside application developers with a common goal of creating and running great software systems. As a firm they are big believers in functional programming. Production Engineers play an essential role interacting with a wide variety of departments and functions. They solve real-time issues and make a firm-wide impact. Taking ownership of the architecture and design of systems that monitor and support the firm's trading. They also design and develop the tools they use; it's a great feeling to be able to shape these tools and then enjoy the improvements. How is a Production Engineer role different from a generic Software Engineering role? As a Production Engineer you will: Split your time between software development project work and a support rotation, to actively resolve live issues in the critical systems Be curious and eager to learn about a number of different systems and how they fit together. This gives you a breadth of knowledge and opportunities to collaborate with many other dev and business teams across the firm Spend less time in total coding (due to the support rotation), and be interrupted more often, and you'll enjoy adding value to Jane Street in this way Get satisfaction from helping others, enabling good trades, and getting to the bottom of complex and urgent production issues About You You're not expected to have a background in functional programming, finance, or any other specific field-they're looking for smart software developers who enjoy solving interesting problems. They're more interested in how you think and learn than just what you currently know. You should be: A strong programmer with a love for technology; able to write and read code well An intellectually curious person who is motivated, collaborative, and eager to learn An excellent communicator, able to be clear and calm during production incidents Fluency in English required Contact If this sounds like you, or you'd like more information, please get in touch: Jack Peck e t
Apr 20, 2024
Full time
About the Position Exciting opportunity to work at a tech-centric prop trading fund as a Production Engineer. At this firm, Production Engineers are software developers who spend time both developing software and also providing high quality support for software systems that are critical to the trading business. Many of their Production Engineers are embedded in various software teams; others are in standalone teams. In both situations, you'll work alongside application developers with a common goal of creating and running great software systems. As a firm they are big believers in functional programming. Production Engineers play an essential role interacting with a wide variety of departments and functions. They solve real-time issues and make a firm-wide impact. Taking ownership of the architecture and design of systems that monitor and support the firm's trading. They also design and develop the tools they use; it's a great feeling to be able to shape these tools and then enjoy the improvements. How is a Production Engineer role different from a generic Software Engineering role? As a Production Engineer you will: Split your time between software development project work and a support rotation, to actively resolve live issues in the critical systems Be curious and eager to learn about a number of different systems and how they fit together. This gives you a breadth of knowledge and opportunities to collaborate with many other dev and business teams across the firm Spend less time in total coding (due to the support rotation), and be interrupted more often, and you'll enjoy adding value to Jane Street in this way Get satisfaction from helping others, enabling good trades, and getting to the bottom of complex and urgent production issues About You You're not expected to have a background in functional programming, finance, or any other specific field-they're looking for smart software developers who enjoy solving interesting problems. They're more interested in how you think and learn than just what you currently know. You should be: A strong programmer with a love for technology; able to write and read code well An intellectually curious person who is motivated, collaborative, and eager to learn An excellent communicator, able to be clear and calm during production incidents Fluency in English required Contact If this sounds like you, or you'd like more information, please get in touch: Jack Peck e t
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team Quant Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering - even Classics - but what unifies us is a passion for technology and writing high-quality code. Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: Quant Platform Developers" otherwise known as our Core Techs", and Quant Developers" which we often refer to as Sector Techs". We use the term Sector Tech" because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Apr 20, 2024
Full time
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team Quant Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering - even Classics - but what unifies us is a passion for technology and writing high-quality code. Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: Quant Platform Developers" otherwise known as our Core Techs", and Quant Developers" which we often refer to as Sector Techs". We use the term Sector Tech" because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Fantastic opportunity for talented programmers at one of the world's top algorithmic trading firms in their London office. They make the world's markets more financially efficient using smart algorithms. To get the job done, they hire some of the smartest computer scientists in the world to develop both their low latency trading platform and their massive distributed research platform. Algo Software Engineers (AE) are programmers that are embedded in the trading teams and work hand-in-hand with Algo Strategy Developers (AD). Whereas ADs tend to use their math skills to make smarter strategies, AEs focus on the software that powers trading and research. Because of this close collaboration, AEs tend to be the type of engineers that thrive on constant interaction and discussion. Hearing how their most recently deployed system allowed for whole new types of research would make their week. AEs are the type of engineers that don't mind juggling a few projects at once and have a varied portfolio of project types, from long-term ambitious new systems to fire-fighting live issues. This environment is particularly well-suited to driven, self-motivated programmers. For one, the company's Partners are all programmers. Team Leads spend a majority of their time doing technical work. Algo teams run on a very bottom-up approach that encourages everyone on the teams to come up with ideas and dictate the direction of each team together. Finally, there is very little emphasis placed on project management process (almost no meetings and no project managers) and there is a lot of emphasis placed on engineering process, such as automated testing, design/code reviews, and technical training. This is a Linux/Unix shop with a codebase written primarily in C++ and Python. If you are not a C++ or Python or Linux expert, that's probably OK. They care more about your technical fundamentals, practical experience and that intense desire to make things better for other people. That being said, they want someone who is familiar with a non-scripting language such as C++ or Java. Here are a few examples of programmers who are currently AEs: When he's not solving riddles and dancing salsa, David's writing distributed computing APIs. He regularly solves bugs like "one out of a million jobs are dying on only these machines and only on Tuesdays". He likes bridging the gap between Algo Strategy Developers and Systems Engineers to explore how to use distributed computing to run research. He really enjoys coming up with ways to make millions of jobs more efficient. Before joining, Jessie worked in big tech for 6 years, doing primarily web development. She enjoys taking unclear problems ("This job takes too long to run.") and figuring out the right way to solve them ("The reason the speed of this job is concerning is because it's impractically slow to debug. We need more interactive debugging tools to avoid constantly restarting jobs."). She cares about writing reliable and thoroughly tested software. When she's not coding, Jessie enjoys solo traveling (she's been to every continent except Antarctica!), reading far too many books, and speaking at conferences. Aaron started programming at age 5 and previously ran the research team at a music software company, bringing over 7 years of experience to the job. He cooks and practices partner acrobatics in his free time. He gets joy from his teammates' happiness when their research runs twice as fast, from building them tools that help them visualize their strategies, and from keeping code organized and maintainable. He's gotten coworkers from other teams involved in latency improvements to his group's live trading. He enjoys the collaborative environment and learning from his coworkers. Culture: This fund brings a scientific approach to trading financial products. They've built one of the world's most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading. Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires. Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They're proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives. This is an equal opportunity employer; so whoever you are they'd love to get to know you. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
Apr 20, 2024
Full time
Fantastic opportunity for talented programmers at one of the world's top algorithmic trading firms in their London office. They make the world's markets more financially efficient using smart algorithms. To get the job done, they hire some of the smartest computer scientists in the world to develop both their low latency trading platform and their massive distributed research platform. Algo Software Engineers (AE) are programmers that are embedded in the trading teams and work hand-in-hand with Algo Strategy Developers (AD). Whereas ADs tend to use their math skills to make smarter strategies, AEs focus on the software that powers trading and research. Because of this close collaboration, AEs tend to be the type of engineers that thrive on constant interaction and discussion. Hearing how their most recently deployed system allowed for whole new types of research would make their week. AEs are the type of engineers that don't mind juggling a few projects at once and have a varied portfolio of project types, from long-term ambitious new systems to fire-fighting live issues. This environment is particularly well-suited to driven, self-motivated programmers. For one, the company's Partners are all programmers. Team Leads spend a majority of their time doing technical work. Algo teams run on a very bottom-up approach that encourages everyone on the teams to come up with ideas and dictate the direction of each team together. Finally, there is very little emphasis placed on project management process (almost no meetings and no project managers) and there is a lot of emphasis placed on engineering process, such as automated testing, design/code reviews, and technical training. This is a Linux/Unix shop with a codebase written primarily in C++ and Python. If you are not a C++ or Python or Linux expert, that's probably OK. They care more about your technical fundamentals, practical experience and that intense desire to make things better for other people. That being said, they want someone who is familiar with a non-scripting language such as C++ or Java. Here are a few examples of programmers who are currently AEs: When he's not solving riddles and dancing salsa, David's writing distributed computing APIs. He regularly solves bugs like "one out of a million jobs are dying on only these machines and only on Tuesdays". He likes bridging the gap between Algo Strategy Developers and Systems Engineers to explore how to use distributed computing to run research. He really enjoys coming up with ways to make millions of jobs more efficient. Before joining, Jessie worked in big tech for 6 years, doing primarily web development. She enjoys taking unclear problems ("This job takes too long to run.") and figuring out the right way to solve them ("The reason the speed of this job is concerning is because it's impractically slow to debug. We need more interactive debugging tools to avoid constantly restarting jobs."). She cares about writing reliable and thoroughly tested software. When she's not coding, Jessie enjoys solo traveling (she's been to every continent except Antarctica!), reading far too many books, and speaking at conferences. Aaron started programming at age 5 and previously ran the research team at a music software company, bringing over 7 years of experience to the job. He cooks and practices partner acrobatics in his free time. He gets joy from his teammates' happiness when their research runs twice as fast, from building them tools that help them visualize their strategies, and from keeping code organized and maintainable. He's gotten coworkers from other teams involved in latency improvements to his group's live trading. He enjoys the collaborative environment and learning from his coworkers. Culture: This fund brings a scientific approach to trading financial products. They've built one of the world's most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading. Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires. Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They're proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives. This is an equal opportunity employer; so whoever you are they'd love to get to know you. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
Accountable for the overall development and maintenance of the Over-the-Counter (Derivatives) Component of Charles River's Investment Management Solution. This includes providing engineering vision, expertise and guidance on software construction while ensuring uncompromising quality and usability. The OTC Engineering Manager is also responsible for driving cross product efficiency and effectiveness in ultimate service to our customers. This is done through building collaborative cross organization relationships and leading a minimum of 5 engineering scrum teams. Responsibilities: Manage team leads and/or development team staff, including assignment of work items, employee performance, engagement and professional development Lead technical and business initiatives across your product line through influence and knowledge Forge effective partnerships with Product Management leadership to understand customer and strategic market needs and to plan, design and develop software solutions to meet those needs. Drive the Agile process and create a culture of continuous improvement of processes and methodologies within and beyond the direct scope of responsibility. Partner with other directors to establish and implement best practices and effective measures. Drive organizational accountability. Contribute expert guidance on software development process including writing, reviewing and approving software development specifications, projects, methods and schedules Lead the architecture and technical direction for the area of responsibility Keep abreast of existing and emerging technologies impactful to CRDs business. Provide expert guidance and critical analysis of proposed changes during design reviews and product demos with an sharp eye towards simplicity of design and function Advise Directors, Team Leads and individual contributors on solving complex technical problems using modern software construction tools and techniques. Provide oversight on key initiatives and work packages to ensure fulfillment of product and scheduling objectives Coordinate with peers within the R & D organization to ensure seamless integration of functional workflows Review testing strategy and test plans for team's product to ensure high product quality Identify improvements in team quality processes including defining new strategies, processes, and required tooling to improve quality Develop and maintain strong partnerships with the client services organization to help drive an effective customer experience Support the sales organization and assist in the execution of POCs for prospective customers Act as the escalation point and primary contact point for troubleshooting customer production problems and drive to quick resolution Analyze trends in the organization with an eye towards improving quality, team efficiency and output, and other key operational metrics I think there is something more here than being a point of contact, At this level I would looks to ensure they are looking at trends and trying to solve to repeat issues, etc. Act in a team lead capacity as needed Qualifications: Education: B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred Experience: Hands-on experience developing OTC technology with an understanding of OTC/Derivatives instruments (pricing, construction and analytics) is required. A minimum of 15 years of progressively responsible professional experience in a software engineering role required with a minimum of 15 years of experience in a supervisory role managing engineers, product specialists, co-ops and interns is strongly desired. A minimum of 10 years of experience in financial services developing solutions for Portfolio Management, Trading, Compliance, Post-Trade, IBOR or Wealth Management is strongly desired Demonstrated ability to provide technical vision to achieve both tactical and strategic goals Demonstrated experience with object-oriented programming, compiler or interpreter technologies, embedded systems, operating systems, relational databases (RDBMS), scripting and new/advanced programming languages Demonstrated experience with cloud native development within a major cloud provider (AWS, Azure, GCP) is strongly desired Demonstrated experience leading teams to build large-scale, high-performance commercial database applications Demonstrated system level architectural skills required Ability to clearly and succinctly summarize results for upper management Demonstrated experience recruiting, hiring, and building a talented engineering team Demonstrated experience in organizing and running efficient meetings Demonstrated ability to manage solution complexity to ensure simple designs and workflows A minimum of 10 years working with an Agile development methodology is strongly desired Ability to coordinate and lead cross-team activities to deliver successful solutions Significant experience designing and developing large scale commercial applications is strongly desired Proven organizational skills, high attention to detail, and superior time management Strong contributor to project plans and backlog management Excellent interpersonal, written, and oral communication skills
Apr 20, 2024
Full time
Accountable for the overall development and maintenance of the Over-the-Counter (Derivatives) Component of Charles River's Investment Management Solution. This includes providing engineering vision, expertise and guidance on software construction while ensuring uncompromising quality and usability. The OTC Engineering Manager is also responsible for driving cross product efficiency and effectiveness in ultimate service to our customers. This is done through building collaborative cross organization relationships and leading a minimum of 5 engineering scrum teams. Responsibilities: Manage team leads and/or development team staff, including assignment of work items, employee performance, engagement and professional development Lead technical and business initiatives across your product line through influence and knowledge Forge effective partnerships with Product Management leadership to understand customer and strategic market needs and to plan, design and develop software solutions to meet those needs. Drive the Agile process and create a culture of continuous improvement of processes and methodologies within and beyond the direct scope of responsibility. Partner with other directors to establish and implement best practices and effective measures. Drive organizational accountability. Contribute expert guidance on software development process including writing, reviewing and approving software development specifications, projects, methods and schedules Lead the architecture and technical direction for the area of responsibility Keep abreast of existing and emerging technologies impactful to CRDs business. Provide expert guidance and critical analysis of proposed changes during design reviews and product demos with an sharp eye towards simplicity of design and function Advise Directors, Team Leads and individual contributors on solving complex technical problems using modern software construction tools and techniques. Provide oversight on key initiatives and work packages to ensure fulfillment of product and scheduling objectives Coordinate with peers within the R & D organization to ensure seamless integration of functional workflows Review testing strategy and test plans for team's product to ensure high product quality Identify improvements in team quality processes including defining new strategies, processes, and required tooling to improve quality Develop and maintain strong partnerships with the client services organization to help drive an effective customer experience Support the sales organization and assist in the execution of POCs for prospective customers Act as the escalation point and primary contact point for troubleshooting customer production problems and drive to quick resolution Analyze trends in the organization with an eye towards improving quality, team efficiency and output, and other key operational metrics I think there is something more here than being a point of contact, At this level I would looks to ensure they are looking at trends and trying to solve to repeat issues, etc. Act in a team lead capacity as needed Qualifications: Education: B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred Experience: Hands-on experience developing OTC technology with an understanding of OTC/Derivatives instruments (pricing, construction and analytics) is required. A minimum of 15 years of progressively responsible professional experience in a software engineering role required with a minimum of 15 years of experience in a supervisory role managing engineers, product specialists, co-ops and interns is strongly desired. A minimum of 10 years of experience in financial services developing solutions for Portfolio Management, Trading, Compliance, Post-Trade, IBOR or Wealth Management is strongly desired Demonstrated ability to provide technical vision to achieve both tactical and strategic goals Demonstrated experience with object-oriented programming, compiler or interpreter technologies, embedded systems, operating systems, relational databases (RDBMS), scripting and new/advanced programming languages Demonstrated experience with cloud native development within a major cloud provider (AWS, Azure, GCP) is strongly desired Demonstrated experience leading teams to build large-scale, high-performance commercial database applications Demonstrated system level architectural skills required Ability to clearly and succinctly summarize results for upper management Demonstrated experience recruiting, hiring, and building a talented engineering team Demonstrated experience in organizing and running efficient meetings Demonstrated ability to manage solution complexity to ensure simple designs and workflows A minimum of 10 years working with an Agile development methodology is strongly desired Ability to coordinate and lead cross-team activities to deliver successful solutions Significant experience designing and developing large scale commercial applications is strongly desired Proven organizational skills, high attention to detail, and superior time management Strong contributor to project plans and backlog management Excellent interpersonal, written, and oral communication skills
Summary: Leading technical contributor to the enhancement and maintenance of Over the Counter (Derivatives) platform in Charles River IMS. Provide engineering troubleshooting assistance to customer support teams and other development teams within Charles River. Responsibilities: Drive technical excellence by working independently to analyze, design, develop, test, and debug large and complex software enhancements and solutions within Charles River's business and technical problem domains including modifications to core frameworks and other primary facilities critical to system operation Collaborate with Business Analysts and Product Managers to create simple and sustainable software solutions for complex problems Provide thought leadership in the design of product architecture within and beyond the team's scope of responsibility Direct problem solving for projects or major phases of projects to resolve advanced software technical issues Develop, test, debug, and implement software programs, applications and projects using Java, C#, SQL, JavaScript, or other related software engineering languages as well as keeping abreast of emerging technologies impactful to CRDs business Provide informed guidance and critical analysis of proposed changes during code reviews Write unit and automation tests to ensure a high quality end product Identify ways of improving development test methodologies contribute to and related test methodology frameworks Conduct manual tests to ensure a high quality end product Provide expert level troubleshooting on large, mission critical client implementations Actively assist team leaders in the agile software development process by adhering to and advancing the CRD scrum methodology, including attending all daily standups, sprint planning, backlog grooming, and retrospectives Plan and coordinate cross-team activities groups to complete assignments Advise senior management on technical strategy Provide mentoring to junior and senior staff Qualifications: Education: B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred. Experience: A minimum of 10 years of progressively responsible professional software engineering experience A minimum of 6 years of experience in financial services developing solutions for Portfolio Management, Trading, Compliance, Post-Trade, IBOR or Wealth Management is strongly desired Authoritative experience with object-oriented programming, compiler or interpreter technologies, embedded systems, operating systems, relational databases (RDBMS), scripting and new/advanced programming languages Demonstrated experience with working on Microservices Architecture and Cloud hosted application Demonstrated problem solving abilities involving multi-tiered, high-performance database applications Demonstrated ability to design and develop simple software solutions to business and technical problems of high complexity Outstanding written and verbal communication skills Able to work well with peers in a collaborative team environment A minimum of 5 years working with an Agile development methodology
Apr 20, 2024
Full time
Summary: Leading technical contributor to the enhancement and maintenance of Over the Counter (Derivatives) platform in Charles River IMS. Provide engineering troubleshooting assistance to customer support teams and other development teams within Charles River. Responsibilities: Drive technical excellence by working independently to analyze, design, develop, test, and debug large and complex software enhancements and solutions within Charles River's business and technical problem domains including modifications to core frameworks and other primary facilities critical to system operation Collaborate with Business Analysts and Product Managers to create simple and sustainable software solutions for complex problems Provide thought leadership in the design of product architecture within and beyond the team's scope of responsibility Direct problem solving for projects or major phases of projects to resolve advanced software technical issues Develop, test, debug, and implement software programs, applications and projects using Java, C#, SQL, JavaScript, or other related software engineering languages as well as keeping abreast of emerging technologies impactful to CRDs business Provide informed guidance and critical analysis of proposed changes during code reviews Write unit and automation tests to ensure a high quality end product Identify ways of improving development test methodologies contribute to and related test methodology frameworks Conduct manual tests to ensure a high quality end product Provide expert level troubleshooting on large, mission critical client implementations Actively assist team leaders in the agile software development process by adhering to and advancing the CRD scrum methodology, including attending all daily standups, sprint planning, backlog grooming, and retrospectives Plan and coordinate cross-team activities groups to complete assignments Advise senior management on technical strategy Provide mentoring to junior and senior staff Qualifications: Education: B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred. Experience: A minimum of 10 years of progressively responsible professional software engineering experience A minimum of 6 years of experience in financial services developing solutions for Portfolio Management, Trading, Compliance, Post-Trade, IBOR or Wealth Management is strongly desired Authoritative experience with object-oriented programming, compiler or interpreter technologies, embedded systems, operating systems, relational databases (RDBMS), scripting and new/advanced programming languages Demonstrated experience with working on Microservices Architecture and Cloud hosted application Demonstrated problem solving abilities involving multi-tiered, high-performance database applications Demonstrated ability to design and develop simple software solutions to business and technical problems of high complexity Outstanding written and verbal communication skills Able to work well with peers in a collaborative team environment A minimum of 5 years working with an Agile development methodology
The CCR Engineering group is responsible for enhancing the way the firm measures, manages, and supervises counterparty credit risk by improving first line-of-defense counterparty data repositories and analytical tooling to ensure comprehensive and timely risk identification, measurement, monitoring and controls. We develop stress testing methodologies to systematically capture tail, concentration and liquidation risks across Global Banking & Markets counterparty portfolios, and build a consolidated risk management interface that houses curated datasets from across the firm that are enriched with enterprise reference data. We aim to provide a unified platform facilitating prime and counterparty risk management, with self-service access to data sets to enable adhoc queries, filters, aggregations and management reporting capabilities to streamline stressed client management and increase the efficiency of a risk management response in times of market volatility. RESPONSIBILITIES Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering, and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers. Combine the best open source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights. As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance and others, to build and automate solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact. BASIC QUALIFICATIONS Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Can apply an entrepreneurial approach and passion to problem solving and product development. 2 - 5 years of software development experience. Expert Knowledge in One Or More Of Programming in a complied language such as Java, or C++ or an interpreted language such as Python and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDb and Elastic Search. Designing enterprise-level applications, or analyzing raw data sets, using Snowflake Preferred Qualifications Knowledge or interest in trading technologies in the front-office of a trading organization B.S. or M.S. Computer Science or Related field. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Apr 20, 2024
Full time
The CCR Engineering group is responsible for enhancing the way the firm measures, manages, and supervises counterparty credit risk by improving first line-of-defense counterparty data repositories and analytical tooling to ensure comprehensive and timely risk identification, measurement, monitoring and controls. We develop stress testing methodologies to systematically capture tail, concentration and liquidation risks across Global Banking & Markets counterparty portfolios, and build a consolidated risk management interface that houses curated datasets from across the firm that are enriched with enterprise reference data. We aim to provide a unified platform facilitating prime and counterparty risk management, with self-service access to data sets to enable adhoc queries, filters, aggregations and management reporting capabilities to streamline stressed client management and increase the efficiency of a risk management response in times of market volatility. RESPONSIBILITIES Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering, and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers. Combine the best open source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights. As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance and others, to build and automate solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact. BASIC QUALIFICATIONS Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Can apply an entrepreneurial approach and passion to problem solving and product development. 2 - 5 years of software development experience. Expert Knowledge in One Or More Of Programming in a complied language such as Java, or C++ or an interpreted language such as Python and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDb and Elastic Search. Designing enterprise-level applications, or analyzing raw data sets, using Snowflake Preferred Qualifications Knowledge or interest in trading technologies in the front-office of a trading organization B.S. or M.S. Computer Science or Related field. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
The Role We are seeking a highly motivated and experienced engineer to join the Responsible Investment Tech team within Man Technology. You will play a pivotal role in our strategic build-out of cutting-edge technology to achieve our ESG goals. Collaborating with our Responsible Investment (RI) team, Data Science and the investment engines across the company, you will contribute to the development of our quant-driven RI strategies and discretionary RI portfolios. Your Responsibilities Onboarding and analysing the best vendor ESG datasets for research, analysis, and reporting in collaboration with our Data Science team. Implementing quantitative methods to establish evidence-based views of security's ESG alignment. Creating Python APIs to facilitate easy access to ESG data and analysis for systems and researchers. Developing tools and reports to ensure actionable ESG data is available firm-wide, including interactive tools, static reports, and Jupyter notebooks. Integrating ESG data into Man's back-office systems. Your Impact and Growth In this role, you will gain a deep understanding of the Responsible Investment space contributing to and supporting research conducted by our teams. You will have the opportunity to apply technology, and quantitative strategically, shaping our technology landscape and making a significant impact from the start Analysing and productionising the best vendor ESG datasets for research, analysis, and reporting in collaboration with our Data Science team. Implementing quantitative methods to establish evidence-based views of the key metrics and aid the development of innovative research across the RI space. Designing, creating and maintaining python based data pipelines and APIs to facilitate easy access to ESG data and analysis for systems and researchers. Developing solutions to ensure innovative and robust ESG data is available firm-wide, including proprietary tools and webapps used within investment making decisions. Our Technology We primarily work with Linux and Python, utilizing the full scientific stack (numpy, scipy, pandas, scikit-learn) extensively. MongoDB serves as our primary storage solution. We leverage Docker, Kubernetes, and Airflow for streamlined deployments, while OpenFin and React drive our front-end development. Working Here At Man Tech, we foster a small company, no-attitude culture that is transparent, collaborative, and open. You will have ample opportunities for growth and the chance to make a real difference. We actively engage with the broader technology community, hosting and sponsoring London's PyData and Machine Learning Meetups. We also contribute to open-source projects and share our technology innovations. In our fantastic open-plan office overlooking the River Thames, we organize regular social events ranging from photography to climbing, karting, and wine tasting. We offer competitive compensation, a generous holiday allowance, flexible benefits, and a commitment to continuous learning and development through coaching, mentoring, and sponsoring professional qualifications. Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential Extensive programming experience, preferably in Python. Proficiency in handling large structured and unstructured datasets. Advocate for collaborative software engineering techniques (agile development, continuous integration, code review, etc.). Proficient with Linux platforms and scripting languages. Working knowledge of one or more relevant database technologies (MongoDB, PostgreSQL, Snowflake, Oracle, Microsoft SQL Server). Proficiency with open-source frameworks and development tools (NumPy/SciPy/Pandas, Spark, Jupyter). Advantageous Prior experience with financial market data or alternative data. Familiarity with the ESG space and investment technology/approaches. Experience in data visualization and modern web app frameworks (e.g., React). Proficiency with git. Personal Attributes Strong academic background with a degree in Computer Science, Mathematics, Engineering, or Physics from a leading university. Commitment to engineering excellence and a passion for technology. Analytical problem-solving skills. Strong time management and organization skills. Excellent interpersonal and communication skills. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Apr 20, 2024
Full time
The Role We are seeking a highly motivated and experienced engineer to join the Responsible Investment Tech team within Man Technology. You will play a pivotal role in our strategic build-out of cutting-edge technology to achieve our ESG goals. Collaborating with our Responsible Investment (RI) team, Data Science and the investment engines across the company, you will contribute to the development of our quant-driven RI strategies and discretionary RI portfolios. Your Responsibilities Onboarding and analysing the best vendor ESG datasets for research, analysis, and reporting in collaboration with our Data Science team. Implementing quantitative methods to establish evidence-based views of security's ESG alignment. Creating Python APIs to facilitate easy access to ESG data and analysis for systems and researchers. Developing tools and reports to ensure actionable ESG data is available firm-wide, including interactive tools, static reports, and Jupyter notebooks. Integrating ESG data into Man's back-office systems. Your Impact and Growth In this role, you will gain a deep understanding of the Responsible Investment space contributing to and supporting research conducted by our teams. You will have the opportunity to apply technology, and quantitative strategically, shaping our technology landscape and making a significant impact from the start Analysing and productionising the best vendor ESG datasets for research, analysis, and reporting in collaboration with our Data Science team. Implementing quantitative methods to establish evidence-based views of the key metrics and aid the development of innovative research across the RI space. Designing, creating and maintaining python based data pipelines and APIs to facilitate easy access to ESG data and analysis for systems and researchers. Developing solutions to ensure innovative and robust ESG data is available firm-wide, including proprietary tools and webapps used within investment making decisions. Our Technology We primarily work with Linux and Python, utilizing the full scientific stack (numpy, scipy, pandas, scikit-learn) extensively. MongoDB serves as our primary storage solution. We leverage Docker, Kubernetes, and Airflow for streamlined deployments, while OpenFin and React drive our front-end development. Working Here At Man Tech, we foster a small company, no-attitude culture that is transparent, collaborative, and open. You will have ample opportunities for growth and the chance to make a real difference. We actively engage with the broader technology community, hosting and sponsoring London's PyData and Machine Learning Meetups. We also contribute to open-source projects and share our technology innovations. In our fantastic open-plan office overlooking the River Thames, we organize regular social events ranging from photography to climbing, karting, and wine tasting. We offer competitive compensation, a generous holiday allowance, flexible benefits, and a commitment to continuous learning and development through coaching, mentoring, and sponsoring professional qualifications. Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists. Essential Extensive programming experience, preferably in Python. Proficiency in handling large structured and unstructured datasets. Advocate for collaborative software engineering techniques (agile development, continuous integration, code review, etc.). Proficient with Linux platforms and scripting languages. Working knowledge of one or more relevant database technologies (MongoDB, PostgreSQL, Snowflake, Oracle, Microsoft SQL Server). Proficiency with open-source frameworks and development tools (NumPy/SciPy/Pandas, Spark, Jupyter). Advantageous Prior experience with financial market data or alternative data. Familiarity with the ESG space and investment technology/approaches. Experience in data visualization and modern web app frameworks (e.g., React). Proficiency with git. Personal Attributes Strong academic background with a degree in Computer Science, Mathematics, Engineering, or Physics from a leading university. Commitment to engineering excellence and a passion for technology. Analytical problem-solving skills. Strong time management and organization skills. Excellent interpersonal and communication skills. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team AHL Fast Trading Strategies is the team responsible for the development of high Sharpe, fast frequency strategies across all asset classes. The team has been running for over a decade and manage a large and successful portfolio across all asset classes spanning both making and taking strategies. The nature of these strategies produce interesting technological problems focusing on tick data, statistical models and trading automation. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, along with various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Expert knowledge in Python or Java Worked within a systematic team focusing on one of: Systematic OTC markets Corps/Sovs/FX/CDX Systematic Listed markets Futures/Power/Equities Experience of signal research implementation Experience with tick data workflows and message based systems Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Understands portfolio optimization and risk leveraging optimization workflows Experience with trade automation and order generation Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes Strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities. Demonstrable passion for technology e.g. personal projects, open-source involvement. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Apr 20, 2024
Full time
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team AHL Fast Trading Strategies is the team responsible for the development of high Sharpe, fast frequency strategies across all asset classes. The team has been running for over a decade and manage a large and successful portfolio across all asset classes spanning both making and taking strategies. The nature of these strategies produce interesting technological problems focusing on tick data, statistical models and trading automation. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, along with various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Expert knowledge in Python or Java Worked within a systematic team focusing on one of: Systematic OTC markets Corps/Sovs/FX/CDX Systematic Listed markets Futures/Power/Equities Experience of signal research implementation Experience with tick data workflows and message based systems Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Understands portfolio optimization and risk leveraging optimization workflows Experience with trade automation and order generation Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes Strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities. Demonstrable passion for technology e.g. personal projects, open-source involvement. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
MORE ABOUT THIS JOB Please note division and function examples are representative of opportunities common for this skill-set. The list is not exhaustive, and availability of open roles is determined based on business need. Specific roles will be confirmed through the interview process. RESPONSIBILITIES Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering, and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers. Combine the best open source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights. As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how.Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance and others, to build and automate solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact. BASIC QUALIFICATIONS Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Can apply an entrepreneurial approach and passion to problem solving and product development. 1+ years of software development experience. Expert Knowledge in One Or More Of Programming in a complied language such as Java, or C++ or an interpreted language such as Python and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDb and Elastic Search. Preferred Qualifications Knowledge or interest in trading technologies in the front-office of a trading organization B.S. or M.S. Computer Science or Related field. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Apr 20, 2024
Full time
MORE ABOUT THIS JOB Please note division and function examples are representative of opportunities common for this skill-set. The list is not exhaustive, and availability of open roles is determined based on business need. Specific roles will be confirmed through the interview process. RESPONSIBILITIES Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering, and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers. Combine the best open source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights. As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how.Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance and others, to build and automate solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact. BASIC QUALIFICATIONS Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Can apply an entrepreneurial approach and passion to problem solving and product development. 1+ years of software development experience. Expert Knowledge in One Or More Of Programming in a complied language such as Java, or C++ or an interpreted language such as Python and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDb and Elastic Search. Preferred Qualifications Knowledge or interest in trading technologies in the front-office of a trading organization B.S. or M.S. Computer Science or Related field. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
The Role Seeking a highly motivated and experienced engineer to join the Risk Data Tech team. You'll have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities, including onboarding, analysis, sourcing, quality checking, and lifecycle management. This fund doesn't just have a standard data warehouse - their data estate is varied and highly optimised to deliver the needs of the business. Your challenges will be varied, involving: Developing and maintaining core tools for analysts, quants, and engineers to on-board and analyse datasets at multi-terabyte-scale. Collaborating with Risk Officers and with other Engineering teams to design and develop solutions for Risk for the whole company or for specific needs for an engine or a strategy. Collaborating with Data Engineering team as they design and develop unique, bespoke solutions to solve big data challenges - they work on 200 Terabyte of data and own the main services that onboard vendor Risk data to support investments. Designing and implementing strategies and tools to monitor and validate the data quality and data processing. The Technology Core systems are almost all running on Windows and most of the code is in .NET (C#). The first data storage is in SQL Server and they're starting to use ArcticDb for the largest datasets. Part of the work is also in Linux with Python code, using pandas and other libraries to support visualization and data processing. The platform inherits from old tools and services, so they use many old technologies (Remoting, MSMQ, WCF, Winforms, WPF) while migrating to new tools (.NET Core 8, Kafka, REST APIs, React, Arrow Flight). Devops is based on Bitbucket and Teamcity (Jenkins for the Python stack), using Grafana + Prometheus for metrics collection. Parts of the services are being moved into Docker for containerisation and Kubernetes for container orchestration. The technology list is never static: they constantly evaluate new tools and libraries. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how they're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Extensive programming experience, ideally in .NET Knowledge of the challenges of dealing with large data sets, both structured and unstructured Knowledge of modern practices for ETL, data engineering and stream processing Proficient on Windows platforms with knowledge of various scripting languages, with exposure to Linux environments Working knowledge of one or more relevant database technologies, e.g. SQL Server Advantageous: Prior experience of working with financial market data or alternative data Relevant mathematical knowledge, e.g. statistics, time-series analysis Experience with Python, Kubernetes, S3 or Kafka. Experience in data visualisation and building web apps in modern frameworks, e.g. React Experience with git and continuous integration environments. Personal Attributes: Strong academic record and a degree with high mathematical and computing content, e.g. Computer Science, Mathematics, Engineering or Physics, from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
Apr 20, 2024
Full time
The Role Seeking a highly motivated and experienced engineer to join the Risk Data Tech team. You'll have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities, including onboarding, analysis, sourcing, quality checking, and lifecycle management. This fund doesn't just have a standard data warehouse - their data estate is varied and highly optimised to deliver the needs of the business. Your challenges will be varied, involving: Developing and maintaining core tools for analysts, quants, and engineers to on-board and analyse datasets at multi-terabyte-scale. Collaborating with Risk Officers and with other Engineering teams to design and develop solutions for Risk for the whole company or for specific needs for an engine or a strategy. Collaborating with Data Engineering team as they design and develop unique, bespoke solutions to solve big data challenges - they work on 200 Terabyte of data and own the main services that onboard vendor Risk data to support investments. Designing and implementing strategies and tools to monitor and validate the data quality and data processing. The Technology Core systems are almost all running on Windows and most of the code is in .NET (C#). The first data storage is in SQL Server and they're starting to use ArcticDb for the largest datasets. Part of the work is also in Linux with Python code, using pandas and other libraries to support visualization and data processing. The platform inherits from old tools and services, so they use many old technologies (Remoting, MSMQ, WCF, Winforms, WPF) while migrating to new tools (.NET Core 8, Kafka, REST APIs, React, Arrow Flight). Devops is based on Bitbucket and Teamcity (Jenkins for the Python stack), using Grafana + Prometheus for metrics collection. Parts of the services are being moved into Docker for containerisation and Kubernetes for container orchestration. The technology list is never static: they constantly evaluate new tools and libraries. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how they're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Extensive programming experience, ideally in .NET Knowledge of the challenges of dealing with large data sets, both structured and unstructured Knowledge of modern practices for ETL, data engineering and stream processing Proficient on Windows platforms with knowledge of various scripting languages, with exposure to Linux environments Working knowledge of one or more relevant database technologies, e.g. SQL Server Advantageous: Prior experience of working with financial market data or alternative data Relevant mathematical knowledge, e.g. statistics, time-series analysis Experience with Python, Kubernetes, S3 or Kafka. Experience in data visualisation and building web apps in modern frameworks, e.g. React Experience with git and continuous integration environments. Personal Attributes: Strong academic record and a degree with high mathematical and computing content, e.g. Computer Science, Mathematics, Engineering or Physics, from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
The Team The Market Data Platform team is responsible for the data feeds that drive research and trading processes across Man Group. Tick data is our primary source of intraday market data, and we efficiently capture and store around 5bn ticks every day from a range of L1 feeds. We rely on a mix of external vendor products for other sources of market and reference data. From these sources we create pipelines that post-process data for investment use and build tooling and applications to manage the lifecycle of raw and derived data. Man Group is investing heavily in faster trading strategies and algos that require access to lower latency and higher quality sources of tick data. The Market Data Platform team is a crucial part of this initiative, ensuring we have the technical capability to capture, store, manage and deliver that data, at petabyte scale. The Role We are looking for an experienced engineer to join the Market Data Platform team. It is an exciting time to join the team as we extend our tick data capabilities as well as ensuring our existing sources of market data are reliable and that the technology underpinning those is fit for purpose. Your challenges in the role will be varied and might include: Working with real-time tick and historical data vendors and their technologies to ingest and distribute data at Man Group Contributing to the design of a low latency, high throughput tick data platform Generating high quality, intraday price datasets across multiple liquid asset classes Building tools for visualisation and management of datasets at terabyte scale Continually improving the reference data systems in use by systematic strategies Optimising the use of open-source technologies such as Kafka, ArcticDB and MongoDB Our Technology Our systems run on Linux and most of our code is in Python3, using the full scientific stack: e.g. numpy, scipy, pandas, scikit-learn. We implement the systems that require the highest data throughput in Java. We use RMDS/TREP and Kafka for data pipelines, ArcticDB and MongoDB for storage, Bitbucket for source control, Jenkins for continuous integration, Prometheus + Grafana for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, Airflow for scheduling, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology including parts of our Data Platform. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer flexible working, competitive compensation, a generous holiday allowance, health and other benefits. We are also committed to continuous learning and development via coaching, mentoring, conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire the brightest most highly skilled and passionate technologists. Essential Very strong technology skills A proponent of collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Proficient in one or more programming languages: Python, Java or C/C++ Proficient on Linux platforms Good knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Familiarity with a variety of programming styles (e.g. OO, functional) Advantageous An understanding of financial markets and instruments Prior experience of working with financial market data, particularly tick data A knowledge of modern practices for data engineering and stream processing Prior commercial experience working with Java Proponent of automation and observability when building applications Proficient with a range of open-source frameworks and development tools e.g. NumPy /Pandas, Spark, Apache Kafka Experience of web-based development using modern frameworks. Relevant mathematical knowledge e.g. statistics, time-series analysis Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics Intellectually robust with a keenly analytic approach to problem solving Self-organised and focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, traders and software engineering colleagues Confident communicator: able to argue a point concisely and deal positively with conflicting views Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Apr 20, 2024
Full time
The Team The Market Data Platform team is responsible for the data feeds that drive research and trading processes across Man Group. Tick data is our primary source of intraday market data, and we efficiently capture and store around 5bn ticks every day from a range of L1 feeds. We rely on a mix of external vendor products for other sources of market and reference data. From these sources we create pipelines that post-process data for investment use and build tooling and applications to manage the lifecycle of raw and derived data. Man Group is investing heavily in faster trading strategies and algos that require access to lower latency and higher quality sources of tick data. The Market Data Platform team is a crucial part of this initiative, ensuring we have the technical capability to capture, store, manage and deliver that data, at petabyte scale. The Role We are looking for an experienced engineer to join the Market Data Platform team. It is an exciting time to join the team as we extend our tick data capabilities as well as ensuring our existing sources of market data are reliable and that the technology underpinning those is fit for purpose. Your challenges in the role will be varied and might include: Working with real-time tick and historical data vendors and their technologies to ingest and distribute data at Man Group Contributing to the design of a low latency, high throughput tick data platform Generating high quality, intraday price datasets across multiple liquid asset classes Building tools for visualisation and management of datasets at terabyte scale Continually improving the reference data systems in use by systematic strategies Optimising the use of open-source technologies such as Kafka, ArcticDB and MongoDB Our Technology Our systems run on Linux and most of our code is in Python3, using the full scientific stack: e.g. numpy, scipy, pandas, scikit-learn. We implement the systems that require the highest data throughput in Java. We use RMDS/TREP and Kafka for data pipelines, ArcticDB and MongoDB for storage, Bitbucket for source control, Jenkins for continuous integration, Prometheus + Grafana for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, Airflow for scheduling, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology including parts of our Data Platform. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer flexible working, competitive compensation, a generous holiday allowance, health and other benefits. We are also committed to continuous learning and development via coaching, mentoring, conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire the brightest most highly skilled and passionate technologists. Essential Very strong technology skills A proponent of collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Proficient in one or more programming languages: Python, Java or C/C++ Proficient on Linux platforms Good knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Familiarity with a variety of programming styles (e.g. OO, functional) Advantageous An understanding of financial markets and instruments Prior experience of working with financial market data, particularly tick data A knowledge of modern practices for data engineering and stream processing Prior commercial experience working with Java Proponent of automation and observability when building applications Proficient with a range of open-source frameworks and development tools e.g. NumPy /Pandas, Spark, Apache Kafka Experience of web-based development using modern frameworks. Relevant mathematical knowledge e.g. statistics, time-series analysis Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics Intellectually robust with a keenly analytic approach to problem solving Self-organised and focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, traders and software engineering colleagues Confident communicator: able to argue a point concisely and deal positively with conflicting views Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
The Role As an engineer within the AHL OMS team you'll be building the Order Management System underpinning the systematic investment process for AHL. This is an opportunity to work closely with our trading desk, quant strategy teams, and operations to deliver an Order Management System which is flexible, robust, and performant to safely trade millions of orders annually and enable the development of new investment strategies. You'll have direct exposure to a wide set of asset classes covering both listed and OTC markets, building deep understanding in how they're executed and booked. The Team We are a small team within our Markets Platform Engineering group, with the OMS sitting between AHL strategies and our execution systems which act as the interface to the market. We're in the core position of the investment process and interact with many other parts of the firm, providing a unique opportunity to build comprehensive knowledge across the trading lifecycle. It's a particularly exciting time to join as we're currently investing heavily, evaluating our stack to increase both its performance and agility in onboarding new flows to support AHL's future growth. Our Technology Our systems run on Linux via containers, with most systems built using Java. We use Git for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerisation, Ansible for architecture automation, and Slack for internal communication. That said, our technology is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology including parts of our Data Platform. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer flexible working, competitive compensation, a generous holiday allowance, health and other benefits. We are also committed to continuous learning and development via coaching, mentoring, conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire the brightest, best and most passionate technologists. You'll be an expert software developer, ideally with an understanding of financial markets and relevant trading experience. You'll join a driven team with broad responsibility, so great communication skills and an ability to work as part of a team are a must. Essential Expert proficiency in Java. Database / SQL skills. Great communication skills coupled with the ability to work closely with both technical and non-technical colleagues. A proponent of strong software engineering techniques and agile methods: continuous integration, code review, unit testing, refactoring and related approaches. Proficient working with Linux. Advantageous An excellent understanding of financial markets and instruments. Experience with FIX. Python knowledge. Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank. Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing. Experience of web-based development (TypeScript). Relevant mathematical knowledge e.g. statistics, asset pricing, time-series analysis optimisation algorithms. Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with an analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Apr 20, 2024
Full time
The Role As an engineer within the AHL OMS team you'll be building the Order Management System underpinning the systematic investment process for AHL. This is an opportunity to work closely with our trading desk, quant strategy teams, and operations to deliver an Order Management System which is flexible, robust, and performant to safely trade millions of orders annually and enable the development of new investment strategies. You'll have direct exposure to a wide set of asset classes covering both listed and OTC markets, building deep understanding in how they're executed and booked. The Team We are a small team within our Markets Platform Engineering group, with the OMS sitting between AHL strategies and our execution systems which act as the interface to the market. We're in the core position of the investment process and interact with many other parts of the firm, providing a unique opportunity to build comprehensive knowledge across the trading lifecycle. It's a particularly exciting time to join as we're currently investing heavily, evaluating our stack to increase both its performance and agility in onboarding new flows to support AHL's future growth. Our Technology Our systems run on Linux via containers, with most systems built using Java. We use Git for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerisation, Ansible for architecture automation, and Slack for internal communication. That said, our technology is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology including parts of our Data Platform. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer flexible working, competitive compensation, a generous holiday allowance, health and other benefits. We are also committed to continuous learning and development via coaching, mentoring, conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire the brightest, best and most passionate technologists. You'll be an expert software developer, ideally with an understanding of financial markets and relevant trading experience. You'll join a driven team with broad responsibility, so great communication skills and an ability to work as part of a team are a must. Essential Expert proficiency in Java. Database / SQL skills. Great communication skills coupled with the ability to work closely with both technical and non-technical colleagues. A proponent of strong software engineering techniques and agile methods: continuous integration, code review, unit testing, refactoring and related approaches. Proficient working with Linux. Advantageous An excellent understanding of financial markets and instruments. Experience with FIX. Python knowledge. Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank. Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing. Experience of web-based development (TypeScript). Relevant mathematical knowledge e.g. statistics, asset pricing, time-series analysis optimisation algorithms. Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with an analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.