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. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables.
Requirements:
Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and four (4) years of experience in job offered or a related role. Prior experience must include four (4) years of experience with the following skills: C++, Java, or Python; developing automated quoting, risk management, hedging and execution algorithms; quantitative analysis using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; and statistics and data-driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.
Job Code: 3937401
Application Instructions:
QUALIFIED APPLICANTS: Visit gs.com and click on "Careers." NO PHONE CALLS PLEASE.
©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.
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