Santander Holdings USA Inc
New York, New York
It Starts With You: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Senior Developer, Application Development serves as a highly experienced, hands-on technical contributor responsible for the development, enhancement, support, and stability of business-critical Fixed Income and Securitized Products applications. This role combines deep technical expertise in Java, C#/.NET, ASP.NET, API development, SQL Server, and enterprise application support with strong business engagement to deliver reliable, scalable, and high-performing solutions. The Senior Developer plays a key role in the analysis, design, development, troubleshooting, production support, and modernization of applications that support trading, operations, risk, market data, and reporting functions. The role requires a strong understanding of Fixed Income and Securitized Products markets, exceptional analytical skills, and the ability to collaborate effectively with business stakeholders and technology teams to solve complex technical and operational challenges. Act as a senior hands-on C#/.NET developer supporting multiple business-critical applications and services. Design, develop, enhance, and maintain ASP.NET applications, APIs, backend services, and SQL Server-based solutions. Provide advanced expertise in application support, production issue resolution, root cause analysis, and platform stability initiatives. Partner with Fixed Income and Securitized Products business users, operations teams, and technology stakeholders to translate business requirements into reliable technical solutions. Support and enhance platforms involved in trade processing, positions management, pricing, market data integration, reporting, and regulatory workflows. Design and implement scalable, high-performance solutions while ensuring data integrity, operational resiliency, and maintainability. Develop and optimize SQL Server database components, including T-SQL, stored procedures, query performance tuning, data analysis, and troubleshooting. Lead troubleshooting efforts across application, database, integration, and performance-related issues. Contribute to system modernization, technical debt reduction, automation, and continuous improvement initiatives. Accurately estimate development effort, identify technical risks, and support project planning and delivery commitments. Mentor junior and mid-level developers while promoting engineering best practices, code quality, and knowledge sharing. Collaborate closely with architects, product owners, support teams, and business stakeholders to ensure successful delivery and operational excellence. Maintain strong focus on data accuracy, controls, performance optimization, and operational efficiency. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: 9+ Years Information Technology, Technical Application Development, or similar experience. - Required. 7+ years of hands-on experience developing and supporting enterprise applications using C#/.NET technologies with hands-on Java development experience. Strong expertise with the following: C# Java .NET Framework / .NET Core ASP.NET MVC and Web Applications RESTful APIs and backend service development Object-oriented design principles and design patterns Advanced experience with Microsoft SQL Server, including: T-SQL development Stored procedures Query optimization Database troubleshooting Data analysis and reporting support Domain Experience: Experience supporting Fixed Income and Securitized Products technology platforms. Functional understanding of Fixed Income products and structured finance instruments, including: Mortgage-Backed Securities (MBS) Asset-Backed Securities (ABS) Commercial Mortgage-Backed Securities (CMBS) Collateralized Mortgage Obligations (CMO) Agency and Non-Agency Securities Pass-Through Securities and Structured Products. Trade lifecycle management Fixed Income trading workflows Securitized Products trading and operational workflows Pricing and valuation concepts Positions and inventory management Market data integration and consumption Reporting and regulatory processes Cashflow generation and payment structures Pool and loan-level characteristics Principal and interest distributions Repayment, amortization, and factor-based securities concepts Trade settlement and lifecycle events Demonstrated ability to collaborate with traders, sales, operations teams, business analysts, and product owners to understand business requirements, analyze issues, and deliver effective technology solutions. Functional understanding of how MBS, ABS, CMBS, and related securitized instruments are originated, traded, priced, settled, serviced, and reported across front-office, middle-office, and operational workflows. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Prior experience supporting Capital Markets, Fixed Income, or Securitized Products trading businesses within an Investment Banking environment. Experience supporting front-office and middle-office trading platforms. Familiarity with Bloomberg, market data feeds, security master platforms, and trade processing ecosystems. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
It Starts With You: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Senior Developer, Application Development serves as a highly experienced, hands-on technical contributor responsible for the development, enhancement, support, and stability of business-critical Fixed Income and Securitized Products applications. This role combines deep technical expertise in Java, C#/.NET, ASP.NET, API development, SQL Server, and enterprise application support with strong business engagement to deliver reliable, scalable, and high-performing solutions. The Senior Developer plays a key role in the analysis, design, development, troubleshooting, production support, and modernization of applications that support trading, operations, risk, market data, and reporting functions. The role requires a strong understanding of Fixed Income and Securitized Products markets, exceptional analytical skills, and the ability to collaborate effectively with business stakeholders and technology teams to solve complex technical and operational challenges. Act as a senior hands-on C#/.NET developer supporting multiple business-critical applications and services. Design, develop, enhance, and maintain ASP.NET applications, APIs, backend services, and SQL Server-based solutions. Provide advanced expertise in application support, production issue resolution, root cause analysis, and platform stability initiatives. Partner with Fixed Income and Securitized Products business users, operations teams, and technology stakeholders to translate business requirements into reliable technical solutions. Support and enhance platforms involved in trade processing, positions management, pricing, market data integration, reporting, and regulatory workflows. Design and implement scalable, high-performance solutions while ensuring data integrity, operational resiliency, and maintainability. Develop and optimize SQL Server database components, including T-SQL, stored procedures, query performance tuning, data analysis, and troubleshooting. Lead troubleshooting efforts across application, database, integration, and performance-related issues. Contribute to system modernization, technical debt reduction, automation, and continuous improvement initiatives. Accurately estimate development effort, identify technical risks, and support project planning and delivery commitments. Mentor junior and mid-level developers while promoting engineering best practices, code quality, and knowledge sharing. Collaborate closely with architects, product owners, support teams, and business stakeholders to ensure successful delivery and operational excellence. Maintain strong focus on data accuracy, controls, performance optimization, and operational efficiency. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: 9+ Years Information Technology, Technical Application Development, or similar experience. - Required. 7+ years of hands-on experience developing and supporting enterprise applications using C#/.NET technologies with hands-on Java development experience. Strong expertise with the following: C# Java .NET Framework / .NET Core ASP.NET MVC and Web Applications RESTful APIs and backend service development Object-oriented design principles and design patterns Advanced experience with Microsoft SQL Server, including: T-SQL development Stored procedures Query optimization Database troubleshooting Data analysis and reporting support Domain Experience: Experience supporting Fixed Income and Securitized Products technology platforms. Functional understanding of Fixed Income products and structured finance instruments, including: Mortgage-Backed Securities (MBS) Asset-Backed Securities (ABS) Commercial Mortgage-Backed Securities (CMBS) Collateralized Mortgage Obligations (CMO) Agency and Non-Agency Securities Pass-Through Securities and Structured Products. Trade lifecycle management Fixed Income trading workflows Securitized Products trading and operational workflows Pricing and valuation concepts Positions and inventory management Market data integration and consumption Reporting and regulatory processes Cashflow generation and payment structures Pool and loan-level characteristics Principal and interest distributions Repayment, amortization, and factor-based securities concepts Trade settlement and lifecycle events Demonstrated ability to collaborate with traders, sales, operations teams, business analysts, and product owners to understand business requirements, analyze issues, and deliver effective technology solutions. Functional understanding of how MBS, ABS, CMBS, and related securitized instruments are originated, traded, priced, settled, serviced, and reported across front-office, middle-office, and operational workflows. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Prior experience supporting Capital Markets, Fixed Income, or Securitized Products trading businesses within an Investment Banking environment. Experience supporting front-office and middle-office trading platforms. Familiarity with Bloomberg, market data feeds, security master platforms, and trade processing ecosystems. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
Santander Holdings USA Inc
New York, New York
It Starts With You: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Senior Developer, Application Development serves as a highly experienced, hands-on technical contributor responsible for the development, enhancement, support, and stability of business-critical Fixed Income and Securitized Products applications. This role combines deep technical expertise in Java, C#/.NET, ASP.NET, API development, SQL Server, and enterprise application support with strong business engagement to deliver reliable, scalable, and high-performing solutions. The Senior Developer plays a key role in the analysis, design, development, troubleshooting, production support, and modernization of applications that support trading, operations, risk, market data, and reporting functions. The role requires a strong understanding of Fixed Income and Securitized Products markets, exceptional analytical skills, and the ability to collaborate effectively with business stakeholders and technology teams to solve complex technical and operational challenges. Act as a senior hands-on C#/.NET developer supporting multiple business-critical applications and services. Design, develop, enhance, and maintain ASP.NET applications, APIs, backend services, and SQL Server-based solutions. Provide advanced expertise in application support, production issue resolution, root cause analysis, and platform stability initiatives. Partner with Fixed Income and Securitized Products business users, operations teams, and technology stakeholders to translate business requirements into reliable technical solutions. Support and enhance platforms involved in trade processing, positions management, pricing, market data integration, reporting, and regulatory workflows. Design and implement scalable, high-performance solutions while ensuring data integrity, operational resiliency, and maintainability. Develop and optimize SQL Server database components, including T-SQL, stored procedures, query performance tuning, data analysis, and troubleshooting. Lead troubleshooting efforts across application, database, integration, and performance-related issues. Contribute to system modernization, technical debt reduction, automation, and continuous improvement initiatives. Accurately estimate development effort, identify technical risks, and support project planning and delivery commitments. Mentor junior and mid-level developers while promoting engineering best practices, code quality, and knowledge sharing. Collaborate closely with architects, product owners, support teams, and business stakeholders to ensure successful delivery and operational excellence. Maintain strong focus on data accuracy, controls, performance optimization, and operational efficiency. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: 9+ Years Information Technology, Technical Application Development, or similar experience. - Required. 7+ years of hands-on experience developing and supporting enterprise applications using C#/.NET technologies with hands-on Java development experience. Strong expertise with the following: C# Java .NET Framework / .NET Core ASP.NET MVC and Web Applications RESTful APIs and backend service development Object-oriented design principles and design patterns Advanced experience with Microsoft SQL Server, including: T-SQL development Stored procedures Query optimization Database troubleshooting Data analysis and reporting support Domain Experience: Experience supporting Fixed Income and Securitized Products technology platforms. Functional understanding of Fixed Income products and structured finance instruments, including: Mortgage-Backed Securities (MBS) Asset-Backed Securities (ABS) Commercial Mortgage-Backed Securities (CMBS) Collateralized Mortgage Obligations (CMO) Agency and Non-Agency Securities Pass-Through Securities and Structured Products. Trade lifecycle management Fixed Income trading workflows Securitized Products trading and operational workflows Pricing and valuation concepts Positions and inventory management Market data integration and consumption Reporting and regulatory processes Cashflow generation and payment structures Pool and loan-level characteristics Principal and interest distributions Repayment, amortization, and factor-based securities concepts Trade settlement and lifecycle events Demonstrated ability to collaborate with traders, sales, operations teams, business analysts, and product owners to understand business requirements, analyze issues, and deliver effective technology solutions. Functional understanding of how MBS, ABS, CMBS, and related securitized instruments are originated, traded, priced, settled, serviced, and reported across front-office, middle-office, and operational workflows. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Prior experience supporting Capital Markets, Fixed Income, or Securitized Products trading businesses within an Investment Banking environment. Experience supporting front-office and middle-office trading platforms. Familiarity with Bloomberg, market data feeds, security master platforms, and trade processing ecosystems. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
It Starts With You: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Senior Developer, Application Development serves as a highly experienced, hands-on technical contributor responsible for the development, enhancement, support, and stability of business-critical Fixed Income and Securitized Products applications. This role combines deep technical expertise in Java, C#/.NET, ASP.NET, API development, SQL Server, and enterprise application support with strong business engagement to deliver reliable, scalable, and high-performing solutions. The Senior Developer plays a key role in the analysis, design, development, troubleshooting, production support, and modernization of applications that support trading, operations, risk, market data, and reporting functions. The role requires a strong understanding of Fixed Income and Securitized Products markets, exceptional analytical skills, and the ability to collaborate effectively with business stakeholders and technology teams to solve complex technical and operational challenges. Act as a senior hands-on C#/.NET developer supporting multiple business-critical applications and services. Design, develop, enhance, and maintain ASP.NET applications, APIs, backend services, and SQL Server-based solutions. Provide advanced expertise in application support, production issue resolution, root cause analysis, and platform stability initiatives. Partner with Fixed Income and Securitized Products business users, operations teams, and technology stakeholders to translate business requirements into reliable technical solutions. Support and enhance platforms involved in trade processing, positions management, pricing, market data integration, reporting, and regulatory workflows. Design and implement scalable, high-performance solutions while ensuring data integrity, operational resiliency, and maintainability. Develop and optimize SQL Server database components, including T-SQL, stored procedures, query performance tuning, data analysis, and troubleshooting. Lead troubleshooting efforts across application, database, integration, and performance-related issues. Contribute to system modernization, technical debt reduction, automation, and continuous improvement initiatives. Accurately estimate development effort, identify technical risks, and support project planning and delivery commitments. Mentor junior and mid-level developers while promoting engineering best practices, code quality, and knowledge sharing. Collaborate closely with architects, product owners, support teams, and business stakeholders to ensure successful delivery and operational excellence. Maintain strong focus on data accuracy, controls, performance optimization, and operational efficiency. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: 9+ Years Information Technology, Technical Application Development, or similar experience. - Required. 7+ years of hands-on experience developing and supporting enterprise applications using C#/.NET technologies with hands-on Java development experience. Strong expertise with the following: C# Java .NET Framework / .NET Core ASP.NET MVC and Web Applications RESTful APIs and backend service development Object-oriented design principles and design patterns Advanced experience with Microsoft SQL Server, including: T-SQL development Stored procedures Query optimization Database troubleshooting Data analysis and reporting support Domain Experience: Experience supporting Fixed Income and Securitized Products technology platforms. Functional understanding of Fixed Income products and structured finance instruments, including: Mortgage-Backed Securities (MBS) Asset-Backed Securities (ABS) Commercial Mortgage-Backed Securities (CMBS) Collateralized Mortgage Obligations (CMO) Agency and Non-Agency Securities Pass-Through Securities and Structured Products. Trade lifecycle management Fixed Income trading workflows Securitized Products trading and operational workflows Pricing and valuation concepts Positions and inventory management Market data integration and consumption Reporting and regulatory processes Cashflow generation and payment structures Pool and loan-level characteristics Principal and interest distributions Repayment, amortization, and factor-based securities concepts Trade settlement and lifecycle events Demonstrated ability to collaborate with traders, sales, operations teams, business analysts, and product owners to understand business requirements, analyze issues, and deliver effective technology solutions. Functional understanding of how MBS, ABS, CMBS, and related securitized instruments are originated, traded, priced, settled, serviced, and reported across front-office, middle-office, and operational workflows. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Prior experience supporting Capital Markets, Fixed Income, or Securitized Products trading businesses within an Investment Banking environment. Experience supporting front-office and middle-office trading platforms. Familiarity with Bloomberg, market data feeds, security master platforms, and trade processing ecosystems. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
Capital One
New York, New York
AI Engineer 5 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
AI Engineer 5 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
Capital One
Mc Lean, Virginia
Senior Staff Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, Java, and GoLang Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 10 years of experience programming with Python, Java, Golang, or C++ At least 8 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 8 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 8 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference. 7+ years of experience optimizing ML algorithms, configurations, and infrastructure 7+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 9+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. Experience shaping long term cross-organizational machine learning strategy Ability to communicate complex technical concepts clearly to executive leadership Recognized leader in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience developing high-performing ML engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Staff Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr. Staff Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Staff Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, Java, and GoLang Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 10 years of experience programming with Python, Java, Golang, or C++ At least 8 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 8 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 8 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference. 7+ years of experience optimizing ML algorithms, configurations, and infrastructure 7+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 9+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. Experience shaping long term cross-organizational machine learning strategy Ability to communicate complex technical concepts clearly to executive leadership Recognized leader in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience developing high-performing ML engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Staff Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr. Staff Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).