# Asset & Wealth Management-New York-Associate, Quantitative Engineering-3851607 [Goldman Sachs](https://www.jorb.ai/firms/goldman-sachs.md) · New York · United States · [Hedge Fund & Quant](https://www.jorb.ai/jobs/hedge-fund-quant.md) Goldman Sachs is hiring a Asset & Wealth Management-New York-Associate, Quantitative Engineering-3851607 in New York. Posted 2026-06-09; applications close 2026-08-08. **Apply**: https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/176285 Posted 1d ago. ## Role details ## Job Title Associate, Quantitative Engineering — Goldman Sachs Services LLC, New York, NY ## Responsibilities - Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. - Collaborate with internal stakeholders, analyze user needs from a scenario design perspective, and address data, model, and implementation issues. - Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. - Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. - Build and challenge risk models, identifying and quantifying 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. ## Requirements Education options: - Master’s degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Computational Finance, Mathematics, or a related field, and one (1) year of experience in a related role, OR - Bachelor’s degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Computational Finance, Mathematics, or a related field, and three (3) years of experience in a related role. Required experience (to be satisfied with either education option): - One (1) year of experience (with a Master’s degree) or three (3) years of experience (with a Bachelor’s degree) with: - Proficiency in C++, Java, or Python; - Performing risk management or scenario-based analysis; - Developing quantitative risk analytics, including factor models; - Developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; - Statistics and data-driven performance analysis, including Linear Regression or Time Series Analysis, to measure performance; - Working closely with portfolio managers to build quantitative models and tools to streamline the portfolio management process; - Developing sustainable production systems; - Developing quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction and performance. ## Salary New York, New York-based position base salary: $113,000 – $155,600 per year. ## Company Information © 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. ## Applying to this role This Asset & Wealth Management-New York-Associate, Quantitative Engineering-3851607 role at Goldman Sachs runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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