What are the responsibilities and job description for the Global Banking & Markets-New York-Vice President, Quantitative Engineering-9134899 position at Goldman Sachs & Co.?
Job Description
Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Design and implement high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services. Own requirements gathering, user story refinement, development, testing (unit, integration and regression), User Acceptance Testing (UAT) and deployment. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.
Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Applied Mathematics or a related quantitative field and three (3) years of experience in job offered or a related quantitative or software engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Applied Mathematics or a related quantitative field and five (5) years of experience in job offered or a related quantitative or software engineering role. Prior experience must include three (3) years of experience (with a Master's degree) OR five (5) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C , Java, or Python; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; full software development lifecycle, including requirements gathering, design, coding, testing, documentation, deployment, and production support; building multi-threaded and multi-process service-oriented enterprise applications within Unix environment; micro-services architecture design and development including REST, Spring, or other back-end technologies; and database query languages, including SQL or NoSQL technologies such as MongoDB.
Salary Range: Annual base salary for this New York, New York-based position is $113,000 - $276,000.
The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Design and implement high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services. Own requirements gathering, user story refinement, development, testing (unit, integration and regression), User Acceptance Testing (UAT) and deployment. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.
Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Applied Mathematics or a related quantitative field and three (3) years of experience in job offered or a related quantitative or software engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Applied Mathematics or a related quantitative field and five (5) years of experience in job offered or a related quantitative or software engineering role. Prior experience must include three (3) years of experience (with a Master's degree) OR five (5) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C , Java, or Python; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; full software development lifecycle, including requirements gathering, design, coding, testing, documentation, deployment, and production support; building multi-threaded and multi-process service-oriented enterprise applications within Unix environment; micro-services architecture design and development including REST, Spring, or other back-end technologies; and database query languages, including SQL or NoSQL technologies such as MongoDB.
Salary Range: Annual base salary for this New York, New York-based position is $113,000 - $276,000.
The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
Salary : $113,000 - $276,000