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**Asset & Wealth Management-Associate, Quantitative Engineering** - Develop, implement, and document financial scenarios using economic and financial variables. - Collaborate with stakeholders, analyze data, build predictive models, and refine scenarios. - Build and challenge risk models, identify vulnerabilities, and maintain clear documentation. - Requires Master's (1+ years experience) or Bachelor's (3+ years experience) degree in Finance, Financial Engineering, or related field, with proficient knowledge in C++, Java, or Python, and experience in risk management, scenario-based analysis, and quantitative risk analytics. **Keywords:** Quantitative Engineering, Risk Management, Scenario Analysis, C++, Java, Python, Finance, Financial Engineering, New York, Asset & Wealth Management, Associate.
- Compensation
- $113,000 – $155,600 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Full Job Description
Job Duties: Associate, Quantitative Engineering with Goldman Sachs Services 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. 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.
Job Requirements: Masters degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Computational Finance, Mathematics, or related field and one (1) year of experience in job offered or a related role OR Bachelors degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Computational Finance, Mathematics, or related field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year of experience (with a Masters degree) OR three (3) years of experience (with a Bachelors degree) with: 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 portfolio management process; developing sustainable production systems; and developing quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve the portfolio construction process and improve portfolio performance.
Salary Range: Annual base salary for this New York, New York-based position is $113,000 - $155,600.
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.
