Why This Role Stands Out
Embark on a rewarding career path at Goldman Sachs as an Associate, Quantitative Engineering, where you'll leverage advanced financial modeling and programming skills to drive critical business decisions. This on-site role offers a competitive salary range of $150,000 - $189,000 yearly and is ideal for individuals with a strong quantitative background and a passion for innovation in financial engineering. Apply today to join a globally recognized firm and contribute to impactful projects.
Quick Overview
Job Description
Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Develop, implement, and document scenarios comprised of 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.
Requires: Master's degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and two (2) years of experience in 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 5 of the 7 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; 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.
Job Code: 10452362
Salary Range: Annual base salary for this New York, New York-based position is $150,000 - $189,000.
QUALIFIED APPLICANTS: Apply at 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.
JobiqoTJN. , Location: New York, NY - 10060
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