Job Description Job Description About Us: Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for an Infrastructure Engineer to join our team. We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world's hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. Position Highlights: We are looking for an Infrastructure Engineer who has experience designing, building, and deploying scalable infrastructure for research and production trading. As we are rapidly growing, this role will have a major impact on the future of our software systems. Less manual, more automation! Responsibilities: Design, build, and support low-latency trading infrastructure Troubleshoot complex issues across the OS, storage, networking, and HPC clusters, working closely with other teams Automate server provisioning and configuration management Maintain and scale data storage systems Identify manual or repetitive workflows and design automation to improve reliability and user experience Deploy and support containerized applications Administer observability and source control platforms Evaluate emerging hardware and software relevant to trading, HPC, and storage, and propose improvements Coordinate with remote data center technicians on hardware installs and repairs Maintain clear documentation and a structured knowledge base Requirements: 1-5 years of experience in Linux systems engineering or administration Solid understanding of Linux internals: process scheduling, virtual memory, filesystems, and the networking stack Strong understanding of computer system architecture Good grasp of networking fundamentals (TCP/IP, routing, VLANs, troubleshooting tools) Strong scripting skills in Python and/or Bash Experience with configuration management and Infrastructure-as-Code tools such as Ansible Hands-on experience with observability tools (metrics, logging, alerting) Experience with containers (Docker, Podman; Kubernetes is a plus) Clear communication skills and the ability to work across teams Nice to have: Experience with low latency L1/1.5 network devices Experience with Solarflare or Mellanox network cards Experience with Kubernetes (bare-metal and cloud environments) Experience with Big-Data Processing and Analysis Pipelines such as Jenkins or similar Experience Working in a Trading Firm is a significant plus Genuine Interest in Finance and Trading Additional expectations: Passion for Continuous Learning Strong Sense of Responsibility Ability to Make Independent and Timely Decisions Skill in Finding Innovative Solutions Service-Oriented Mindset Benefits: Competitive compensation package Performance-based bonus opportunities 401k plan Mental health support, including access to therapy Paid time off (4 weeks) Relocation support (where applicable) International team meet-ups Learning and development support, including courses and certifications Access to professional tools, software, and resources Fully equipped workstations with high-quality hardware Modern office with paid lunches Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!
11/12/2026
Full time
Job Description Job Description About Us: Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for an Infrastructure Engineer to join our team. We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world's hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. Position Highlights: We are looking for an Infrastructure Engineer who has experience designing, building, and deploying scalable infrastructure for research and production trading. As we are rapidly growing, this role will have a major impact on the future of our software systems. Less manual, more automation! Responsibilities: Design, build, and support low-latency trading infrastructure Troubleshoot complex issues across the OS, storage, networking, and HPC clusters, working closely with other teams Automate server provisioning and configuration management Maintain and scale data storage systems Identify manual or repetitive workflows and design automation to improve reliability and user experience Deploy and support containerized applications Administer observability and source control platforms Evaluate emerging hardware and software relevant to trading, HPC, and storage, and propose improvements Coordinate with remote data center technicians on hardware installs and repairs Maintain clear documentation and a structured knowledge base Requirements: 1-5 years of experience in Linux systems engineering or administration Solid understanding of Linux internals: process scheduling, virtual memory, filesystems, and the networking stack Strong understanding of computer system architecture Good grasp of networking fundamentals (TCP/IP, routing, VLANs, troubleshooting tools) Strong scripting skills in Python and/or Bash Experience with configuration management and Infrastructure-as-Code tools such as Ansible Hands-on experience with observability tools (metrics, logging, alerting) Experience with containers (Docker, Podman; Kubernetes is a plus) Clear communication skills and the ability to work across teams Nice to have: Experience with low latency L1/1.5 network devices Experience with Solarflare or Mellanox network cards Experience with Kubernetes (bare-metal and cloud environments) Experience with Big-Data Processing and Analysis Pipelines such as Jenkins or similar Experience Working in a Trading Firm is a significant plus Genuine Interest in Finance and Trading Additional expectations: Passion for Continuous Learning Strong Sense of Responsibility Ability to Make Independent and Timely Decisions Skill in Finding Innovative Solutions Service-Oriented Mindset Benefits: Competitive compensation package Performance-based bonus opportunities 401k plan Mental health support, including access to therapy Paid time off (4 weeks) Relocation support (where applicable) International team meet-ups Learning and development support, including courses and certifications Access to professional tools, software, and resources Fully equipped workstations with high-quality hardware Modern office with paid lunches Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!
Job Description Job Description High Performance Compute (HPC) Storage Engineer Locations: Austin, TX Chicago, IL New York, NY London, UK Norway About the Role: The Infrastructure and R&D engineering group at a leading global quantitative trading firm designs, builds, and maintains the high-performance computing, networking, and data storage systems that power round-the-clock automated trading strategies and research platforms. The Storage Engineering team manages exabyte-scale data infrastructure tailored for state-of-the-art AI/ML workloads. We are seeking an experienced Storage Engineer who thrives in a fast-paced environment and values an open, collaborative organizational culture. In this role, you will oversee existing storage systems while taking key responsibility for designing, automating, and scaling next-generation storage architectures. Joining a agile team dedicated to HPC storage, you will have significant autonomy to evaluate, prototype, and implement new hardware and software technologies to maximize performance and usability across the global research ecosystem. Responsibilities Design, deploy, and manage a diverse suite of high-performance storage solutions. Troubleshoot complex storage, Linux OS, and networking interactions. Develop custom automation and tooling to enhance performance, reliability, and telemetry across storage clusters. Research, benchmark, and integrate emerging storage hardware and software technologies. Qualifications Distributed Filesystems: Deep expertise with distributed file systems for large-scale cluster environments (e.g., Lustre, CephFS, GPFS/MMFS). Storage Design: Proven ability to architect custom, highly available NAS architectures with built-in redundancy. HPC Experience: 3+ years in high-performance computing or ultra-low-latency environments managing petabyte-scale storage deployments (1PB+). Enterprise Storage Solutions: 3+ years working with scale-out enterprise platforms (e.g., VAST Data, Isilon, NetApp, Pure Storage). Linux Systems & Filesystems: Advanced proficiency in Linux system administration, OS troubleshooting, NFS, ZFS, and native Linux filesystems. Scripting & Automation: Strong practical experience in Python and shell scripting (Bash). Execution & Collaboration: Excellent cross-functional communication, strong time management, and the ability to balance solo execution with collaborative problem-solving in dynamic environments. Compensation & Benefits Base Salary Range: $150,000 - $250,000 USD per year (or local currency equivalent), determined by location, skills, and experience. Additional Compensation: Eligible for discretionary annual performance bonuses and a comprehensive benefits package.
11/12/2026
Full time
Job Description Job Description High Performance Compute (HPC) Storage Engineer Locations: Austin, TX Chicago, IL New York, NY London, UK Norway About the Role: The Infrastructure and R&D engineering group at a leading global quantitative trading firm designs, builds, and maintains the high-performance computing, networking, and data storage systems that power round-the-clock automated trading strategies and research platforms. The Storage Engineering team manages exabyte-scale data infrastructure tailored for state-of-the-art AI/ML workloads. We are seeking an experienced Storage Engineer who thrives in a fast-paced environment and values an open, collaborative organizational culture. In this role, you will oversee existing storage systems while taking key responsibility for designing, automating, and scaling next-generation storage architectures. Joining a agile team dedicated to HPC storage, you will have significant autonomy to evaluate, prototype, and implement new hardware and software technologies to maximize performance and usability across the global research ecosystem. Responsibilities Design, deploy, and manage a diverse suite of high-performance storage solutions. Troubleshoot complex storage, Linux OS, and networking interactions. Develop custom automation and tooling to enhance performance, reliability, and telemetry across storage clusters. Research, benchmark, and integrate emerging storage hardware and software technologies. Qualifications Distributed Filesystems: Deep expertise with distributed file systems for large-scale cluster environments (e.g., Lustre, CephFS, GPFS/MMFS). Storage Design: Proven ability to architect custom, highly available NAS architectures with built-in redundancy. HPC Experience: 3+ years in high-performance computing or ultra-low-latency environments managing petabyte-scale storage deployments (1PB+). Enterprise Storage Solutions: 3+ years working with scale-out enterprise platforms (e.g., VAST Data, Isilon, NetApp, Pure Storage). Linux Systems & Filesystems: Advanced proficiency in Linux system administration, OS troubleshooting, NFS, ZFS, and native Linux filesystems. Scripting & Automation: Strong practical experience in Python and shell scripting (Bash). Execution & Collaboration: Excellent cross-functional communication, strong time management, and the ability to balance solo execution with collaborative problem-solving in dynamic environments. Compensation & Benefits Base Salary Range: $150,000 - $250,000 USD per year (or local currency equivalent), determined by location, skills, and experience. Additional Compensation: Eligible for discretionary annual performance bonuses and a comprehensive benefits package.
Adaptive Financial Consulting Ltd
New York, New York
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a technology provider firm that partners with capital, commodity, and digital market participants to build custom front-office technology, messaging systems, and trading infrastructure. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With a global reach, with offices in London, New York, Barcelona, Montreal, and Manila, we have a proven track record of delivering powerful, elegant and intuitive trading technology solutions, and we value technical pragmatism, collaboration, and clear communication. We're looking for a Senior Java / Systems Engineer with significant experience in Platform Exchange Systems to design, deliver, and optimize production-ready, high-performance, low-latency technology using Aeron. YOU ARE: A hands-on engineer who enjoys designing and optimising low-latency Java services and protocols across the full delivery lifecycle. Someone with genuine experience building Matching Engines and Platform Exchange Systems. Driven by evidence-based engineering, automated testing, benchmarking, and profiling rather than guesswork. A clear, confident communicator who can work across domain boundaries in a collaborative Agile environment, rather than being siloed into a single technology stack. YOU HAVE: Strong server-side, low-latency Java expertise (concurrency, memory management, I/O, and performance profiling). Solid exchange, risk, or matching-engine experience. Hands-on experience building automated testing strategies, running performance benchmarks, and diagnosing production issues. Excellent technical communication and collaborative problem-solving skills. Experience with order entry and market data protocols (e.g. FIX, ITCH). Familiarity with low-latency frameworks such as Aeron, Chronicle, or LBM. An understanding of replicated state machines, event sourcing, or deterministic systems. Exposure to cloud environments (AWS/GCP), containers, Kubernetes, or observability tooling. YOU WILL: Design, build, and optimise low-latency Java services and protocols for an Exchange Accelerator product across the delivery lifecycle. Define order, session, instrument, and account models alongside exchange integration boundaries. Develop automated testing strategies and perform evidence-based performance benchmarking and profiling. Collaborate directly with client teams, SREs, QA, and leadership to ensure exchange readiness and durable production fixes. Engage with client engineering and business stakeholders, communicating technical trade-offs clearly. Support the product in production across multiple client deployments. (And after six months) Independently own key technical workstreams from concept to production readiness. Deliver maintainable, observable, and well-tested systems aligned with core architecture. Establish trusted relationships with clients through clear communication and steady delivery. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive, you can learn from anyone here, which is the beauty of it). To take part in the growth and development of a great company. Our teams feel free to speak up, make suggestions and raise concerns. Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us. We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes. WHAT PEOPLE THINK OF US You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ): For permanents: We create benefits with YOU in mind. We create benefits with YOU in mind: Flexible hybrid working model Medical from the 1st of the following month of your start date (i.e. if you join on the 24th of July, it starts on the 1st of August). We have 6 Aetna plans to choose from as provided by our PEO, Justworks. We make a flat monthly contribution to your healthcare costs Dental and vision from the 1st of the month following your start date - we have 3 dental and 2 vision plans to choose from. We make fixed contributions to each 23 days of vacation per calendar year plus 11 public holidays Group disability insurance: short-term and long-term (60% and taxable) 401K safe harbor plan where we match contributions up to 5% of base pay on a paycheck-to-paycheck basis (you can opt-in after 90 days of service) Gym subsidy of up to $50 per month (and we pay the taxes on that so it's a real $50) post probation Life insurance at 2 x salary Commuter benefits Health Savings Account and Flexible Spending Account Mental Health First Aiders THE PROCESS Long interview processes are stressful and boring and that is not us! We want to make sure that everything runs smoothly. So here you will have three-stage interviews: 1- A chat with one of our great recruiters. 2- A Zoom chat with one of our Java colleagues where they will ask you detailed questions about your experience. 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper and you will have a pair programming task to do. But don't worry; everything will be explained to you step by step by your recruiter. A little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc DIVERSITY & INCLUSION: Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive. E-verify: Adaptive Financial Consulting Inc. makes use of E-Verify to validate someone's right to work in the US. We will provide the Social Security Administration, and, if necessary, the Department of Homeland Security, with information from each new employee's Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants. Base pay will be determined on an individualized basis and is only part of the total compensation package. Pay is based on candidate skills and experience.New York pay range$240,000-$260,000 USD
11/10/2026
Full time
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a technology provider firm that partners with capital, commodity, and digital market participants to build custom front-office technology, messaging systems, and trading infrastructure. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With a global reach, with offices in London, New York, Barcelona, Montreal, and Manila, we have a proven track record of delivering powerful, elegant and intuitive trading technology solutions, and we value technical pragmatism, collaboration, and clear communication. We're looking for a Senior Java / Systems Engineer with significant experience in Platform Exchange Systems to design, deliver, and optimize production-ready, high-performance, low-latency technology using Aeron. YOU ARE: A hands-on engineer who enjoys designing and optimising low-latency Java services and protocols across the full delivery lifecycle. Someone with genuine experience building Matching Engines and Platform Exchange Systems. Driven by evidence-based engineering, automated testing, benchmarking, and profiling rather than guesswork. A clear, confident communicator who can work across domain boundaries in a collaborative Agile environment, rather than being siloed into a single technology stack. YOU HAVE: Strong server-side, low-latency Java expertise (concurrency, memory management, I/O, and performance profiling). Solid exchange, risk, or matching-engine experience. Hands-on experience building automated testing strategies, running performance benchmarks, and diagnosing production issues. Excellent technical communication and collaborative problem-solving skills. Experience with order entry and market data protocols (e.g. FIX, ITCH). Familiarity with low-latency frameworks such as Aeron, Chronicle, or LBM. An understanding of replicated state machines, event sourcing, or deterministic systems. Exposure to cloud environments (AWS/GCP), containers, Kubernetes, or observability tooling. YOU WILL: Design, build, and optimise low-latency Java services and protocols for an Exchange Accelerator product across the delivery lifecycle. Define order, session, instrument, and account models alongside exchange integration boundaries. Develop automated testing strategies and perform evidence-based performance benchmarking and profiling. Collaborate directly with client teams, SREs, QA, and leadership to ensure exchange readiness and durable production fixes. Engage with client engineering and business stakeholders, communicating technical trade-offs clearly. Support the product in production across multiple client deployments. (And after six months) Independently own key technical workstreams from concept to production readiness. Deliver maintainable, observable, and well-tested systems aligned with core architecture. Establish trusted relationships with clients through clear communication and steady delivery. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive, you can learn from anyone here, which is the beauty of it). To take part in the growth and development of a great company. Our teams feel free to speak up, make suggestions and raise concerns. Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us. We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes. WHAT PEOPLE THINK OF US You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ): For permanents: We create benefits with YOU in mind. We create benefits with YOU in mind: Flexible hybrid working model Medical from the 1st of the following month of your start date (i.e. if you join on the 24th of July, it starts on the 1st of August). We have 6 Aetna plans to choose from as provided by our PEO, Justworks. We make a flat monthly contribution to your healthcare costs Dental and vision from the 1st of the month following your start date - we have 3 dental and 2 vision plans to choose from. We make fixed contributions to each 23 days of vacation per calendar year plus 11 public holidays Group disability insurance: short-term and long-term (60% and taxable) 401K safe harbor plan where we match contributions up to 5% of base pay on a paycheck-to-paycheck basis (you can opt-in after 90 days of service) Gym subsidy of up to $50 per month (and we pay the taxes on that so it's a real $50) post probation Life insurance at 2 x salary Commuter benefits Health Savings Account and Flexible Spending Account Mental Health First Aiders THE PROCESS Long interview processes are stressful and boring and that is not us! We want to make sure that everything runs smoothly. So here you will have three-stage interviews: 1- A chat with one of our great recruiters. 2- A Zoom chat with one of our Java colleagues where they will ask you detailed questions about your experience. 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper and you will have a pair programming task to do. But don't worry; everything will be explained to you step by step by your recruiter. A little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc DIVERSITY & INCLUSION: Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive. E-verify: Adaptive Financial Consulting Inc. makes use of E-Verify to validate someone's right to work in the US. We will provide the Social Security Administration, and, if necessary, the Department of Homeland Security, with information from each new employee's Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants. Base pay will be determined on an individualized basis and is only part of the total compensation package. Pay is based on candidate skills and experience.New York pay range$240,000-$260,000 USD
Job Description Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Software Engineer to design and build high throughput / low-latency market data infrastructure. This is a high-impact role that sits at the heart of Trexquant's trading platform. Responsibilities: Write efficient, scalable and maintainable code with a strong focus on performance, testing and code quality. Design and build high-performance market data infrastructure in modern C++ for equities, futures and options across global venues. Build reusable libraries for decoding, normalizing, publishing and consuming market data. Partner closely with quantitative researchers to understand downstream data requirements. Troubleshoot production issues and ensure reliable 24/7 market data infrastructure. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feed infrastructure. Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits Weekly company meals The base salary range is $150,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer
11/06/2026
Full time
Job Description Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Software Engineer to design and build high throughput / low-latency market data infrastructure. This is a high-impact role that sits at the heart of Trexquant's trading platform. Responsibilities: Write efficient, scalable and maintainable code with a strong focus on performance, testing and code quality. Design and build high-performance market data infrastructure in modern C++ for equities, futures and options across global venues. Build reusable libraries for decoding, normalizing, publishing and consuming market data. Partner closely with quantitative researchers to understand downstream data requirements. Troubleshoot production issues and ensure reliable 24/7 market data infrastructure. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feed infrastructure. Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits Weekly company meals The base salary range is $150,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer
Job Description Job Description Salary is 250k to 350k bonus 2 days remote and 3 days onsite Seeking a highly skilled C Engineer to help build and enhance mission-critical trading infrastructure. This position is ideal for someone who enjoys solving complex performance challenges and developing systems where speed, reliability, and efficiency are paramount. What You'll Do " Develop and enhance low-latency trading platforms using modern C . " Build scalable components supporting market data processing, order routing, execution, and risk controls. " Improve application performance through advanced optimization techniques across CPU, memory, and threading models. " Design and maintain connectivity solutions for trading venues and market data feeds. " Work closely with quantitative researchers, traders, and engineering teams to deliver high-performance solutions. " Analyze, benchmark, troubleshoot, and tune production systems to reduce latency and improve throughput. " Contribute to the stability and resiliency of real-time trading environments. What We're Looking For " Advanced experience developing software in modern C (C 17 and newer). " Strong background in performance-sensitive, low-latency applications. " Solid understanding of multithreading, concurrency, and network programming. " Experience developing and tuning applications in Linux environments. " Track record of building highly available, real-time systems handling large volumes of data and transactions. " Previous exposure to electronic trading platforms within financial markets or digital asset environments. Preferred Background " Experience working within quantitative trading, market-making, hedge fund, proprietary trading, or exchange environments. " Strong problem-solving abilities and a passion for performance optimization. " Comfortable operating in fast-paced environments where engineering excellence directly impacts business outcomes.
11/06/2026
Full time
Job Description Job Description Salary is 250k to 350k bonus 2 days remote and 3 days onsite Seeking a highly skilled C Engineer to help build and enhance mission-critical trading infrastructure. This position is ideal for someone who enjoys solving complex performance challenges and developing systems where speed, reliability, and efficiency are paramount. What You'll Do " Develop and enhance low-latency trading platforms using modern C . " Build scalable components supporting market data processing, order routing, execution, and risk controls. " Improve application performance through advanced optimization techniques across CPU, memory, and threading models. " Design and maintain connectivity solutions for trading venues and market data feeds. " Work closely with quantitative researchers, traders, and engineering teams to deliver high-performance solutions. " Analyze, benchmark, troubleshoot, and tune production systems to reduce latency and improve throughput. " Contribute to the stability and resiliency of real-time trading environments. What We're Looking For " Advanced experience developing software in modern C (C 17 and newer). " Strong background in performance-sensitive, low-latency applications. " Solid understanding of multithreading, concurrency, and network programming. " Experience developing and tuning applications in Linux environments. " Track record of building highly available, real-time systems handling large volumes of data and transactions. " Previous exposure to electronic trading platforms within financial markets or digital asset environments. Preferred Background " Experience working within quantitative trading, market-making, hedge fund, proprietary trading, or exchange environments. " Strong problem-solving abilities and a passion for performance optimization. " Comfortable operating in fast-paced environments where engineering excellence directly impacts business outcomes.
Job Description Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Software Engineer to design and build high throughput / low-latency market data infrastructure. This is a high-impact role that sits at the heart of Trexquant's trading platform. Responsibilities: Write efficient, scalable and maintainable code with a strong focus on performance, testing and code quality. Design and build high-performance market data infrastructure in modern C++ for equities, futures and options across global venues. Build reusable libraries for decoding, normalizing, publishing and consuming market data. Partner closely with quantitative researchers to understand downstream data requirements. Troubleshoot production issues and ensure reliable 24/7 market data infrastructure. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feed infrastructure. Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits Weekly company meals The base salary range is $150,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer
11/06/2026
Full time
Job Description Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Software Engineer to design and build high throughput / low-latency market data infrastructure. This is a high-impact role that sits at the heart of Trexquant's trading platform. Responsibilities: Write efficient, scalable and maintainable code with a strong focus on performance, testing and code quality. Design and build high-performance market data infrastructure in modern C++ for equities, futures and options across global venues. Build reusable libraries for decoding, normalizing, publishing and consuming market data. Partner closely with quantitative researchers to understand downstream data requirements. Troubleshoot production issues and ensure reliable 24/7 market data infrastructure. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feed infrastructure. Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits Weekly company meals The base salary range is $150,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer
Job Description We are partnering with a leading proprietary trading firm seeking a talented Senior C++ Developer to join a high-performance engineering team building technology that powers real-time trading across global financial markets. This is an opportunity to work on mission-critical systems where performance, reliability, and latency are paramount. Key Responsibilities Design, develop and optimize high-performance C++ applications for low-latency trading environments. Reduce system latency through profiling, performance tuning and code optimization. Build scalable, resilient software used in electronic trading and market data processing. Work closely with traders, quantitative researchers and infrastructure engineers to deliver cutting-edge solutions. Identify bottlenecks across software and hardware, implementing improvements to maximize throughput and minimize latency. Requirements Strong commercial experience developing software in modern C++ (C+/20 preferred). Proven experience building low-latency, high-performance systems. Deep understanding of performance optimization, memory management, multi-threading and concurrent programming. Experience profiling applications and optimizing CPU, cache utilization and network performance. Strong knowledge of Linux development environments and systems programming. Excellent problem-solving skills and a passion for writing highly efficient code. Nice to Have Experience within proprietary trading, hedge funds or electronic market making. Knowledge of networking protocols (TCP/UDP), kernel bypass technologies, RDMA or DPDK. Familiarity with exchange connectivity, market data or order management systems. Exposure to Python for tooling or automation. This is an excellent opportunity to work alongside some of the industry's strongest engineers, solving complex technical challenges where every microsecond counts.
10/06/2026
Full time
Job Description We are partnering with a leading proprietary trading firm seeking a talented Senior C++ Developer to join a high-performance engineering team building technology that powers real-time trading across global financial markets. This is an opportunity to work on mission-critical systems where performance, reliability, and latency are paramount. Key Responsibilities Design, develop and optimize high-performance C++ applications for low-latency trading environments. Reduce system latency through profiling, performance tuning and code optimization. Build scalable, resilient software used in electronic trading and market data processing. Work closely with traders, quantitative researchers and infrastructure engineers to deliver cutting-edge solutions. Identify bottlenecks across software and hardware, implementing improvements to maximize throughput and minimize latency. Requirements Strong commercial experience developing software in modern C++ (C+/20 preferred). Proven experience building low-latency, high-performance systems. Deep understanding of performance optimization, memory management, multi-threading and concurrent programming. Experience profiling applications and optimizing CPU, cache utilization and network performance. Strong knowledge of Linux development environments and systems programming. Excellent problem-solving skills and a passion for writing highly efficient code. Nice to Have Experience within proprietary trading, hedge funds or electronic market making. Knowledge of networking protocols (TCP/UDP), kernel bypass technologies, RDMA or DPDK. Familiarity with exchange connectivity, market data or order management systems. Exposure to Python for tooling or automation. This is an excellent opportunity to work alongside some of the industry's strongest engineers, solving complex technical challenges where every microsecond counts.
Job Description Job Description Millennium NYC 5 days a week in office 200-225K Base plus bonus (total comp-400-500K) Technical Lead Market Data The SPEED Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream focused on architecting, implementing, monitoring, and supporting low-latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By leading the design and evolution of this high-performance infrastructure, you will help position MLP as a leader in quantitative trading. You will shape the future of this industry while working alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world. We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time (both low-latency and non-latency-sensitive) market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management. The successful candidate will be comfortable owning a workstream end-to-end-covering design, implementation, monitoring, support, and stakeholder management-while ensuring stability of the existing environment and driving platform improvements. Principal Responsibilities Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle. Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems. Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices. Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity. Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment. Optimize platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning). Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation. Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes. Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualization, and self-service administrative/user tools. Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions. Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs). Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability. Qualifications / Skills Required Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++. Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments. Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimization. Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations). Able to prioritize and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through. Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production. Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions. Experience building solutions on cloud environments such as GCP and AWS. Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell). Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.). Experience supporting market data environments within a global organization, including internally developed DMA feed handlers and distribution infrastructure. Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability. Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management. Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations. Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.
09/29/2026
Full time
Job Description Job Description Millennium NYC 5 days a week in office 200-225K Base plus bonus (total comp-400-500K) Technical Lead Market Data The SPEED Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream focused on architecting, implementing, monitoring, and supporting low-latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By leading the design and evolution of this high-performance infrastructure, you will help position MLP as a leader in quantitative trading. You will shape the future of this industry while working alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world. We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time (both low-latency and non-latency-sensitive) market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management. The successful candidate will be comfortable owning a workstream end-to-end-covering design, implementation, monitoring, support, and stakeholder management-while ensuring stability of the existing environment and driving platform improvements. Principal Responsibilities Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle. Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems. Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices. Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity. Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment. Optimize platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning). Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation. Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes. Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualization, and self-service administrative/user tools. Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions. Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs). Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability. Qualifications / Skills Required Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++. Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments. Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimization. Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations). Able to prioritize and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through. Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production. Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions. Experience building solutions on cloud environments such as GCP and AWS. Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell). Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.). Experience supporting market data environments within a global organization, including internally developed DMA feed handlers and distribution infrastructure. Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability. Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management. Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations. Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.
