# Engineering-New York-Associate, Quantitative Engineering-039222 [Goldman Sachs](https://www.jorb.ai/firms/goldman-sachs.md) · New York · United States · [Risk & Compliance](https://www.jorb.ai/jobs/risk-compliance.md) Goldman Sachs is hiring a Engineering-New York-Associate, Quantitative Engineering-039222 in New York. Posted 2026-05-26; applications close 2026-07-25. **Apply**: https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/LateralHiring/job/174840 Posted 6h ago. ## Role details ## Job Title Associate, Quantitative Engineering — Goldman Sachs & Co. LLC, New York, NY ## Responsibilities - Develop, implement, and document scenarios comprising a broad range of economic and financial variables for businesses within the Firm. - 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. - Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. - 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. ## Qualifications - Master’s degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and one (1) year of experience in the job offered or a related quantitative engineering role OR - Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and two (2) years of experience in the job offered or a related quantitative engineering role. - Prior experience must include one (1) year of experience (with a Master’s degree) OR two (2) years of experience (with a Bachelor’s degree) with at least five of the following skills: - C++, Java, or Python; - developing probability and pricing models utilizing financial mathematics principles (including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes); - quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques (including Bayesian analysis, time series analysis, or machine learning algorithms); - 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. ## Salary Salary Range: Annual base salary for this New York, New York-based position is $113,000 – $189,000. ## Company Information & Equal Opportunity ©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 Engineering-New York-Associate, Quantitative Engineering-039222 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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