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Quantitative Risk Associate Jobs (NOW HIRING)

Collaborates with cross functional teams including Counterparty Credit Risk, Liquidity Risk, Operations, Quantitative Risk, Relationship Management to bolster risk management practices. * Educate ...

Associate, Market Risk

Manhattan, NY · On-site

$90K - $155K/yr

The Market Risk Associate is part of a team responsible for market risk management, valuation ... Bachelor's degree in quantitative discipline, masters in a technical field (MS in financial ...

Collaborates with cross functional teams including Counterparty Credit Risk, Liquidity Risk, Operations, Quantitative Risk, Relationship Management to bolster risk management practices. * Educate ...

Collaborates with cross functional teams including Counterparty Credit Risk, Liquidity Risk, Operations, Quantitative Risk, Relationship Management to bolster risk management practices. * Educate ...

Collaborates with cross functional teams including Counterparty Credit Risk, Liquidity Risk, Operations, Quantitative Risk, Relationship Management to bolster risk management practices. * Educate ...

As an Associate Risk Manager your role will lead risk management activities at strategic, programme ... quantitative risk management and its place within the project structure. You will be a forward ...

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Quantitative Risk Associate information

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$31K

$90.6K

$146K

How much do quantitative risk associate jobs pay per year?

As of Sep 9, 2026, the average yearly pay for quantitative risk associate in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

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Global Banking & Markets-New York-Associate, Quantitative Engineering-10452362

New York, NY • On-site

Goldman Sachs
Finance and Insurance • 10K+ employees

$150K - $189K/yr

Full-time

Posted 28 days ago


Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

90th of 176 rated banks


Job description

Job Duties: 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. 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: 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.

Salary Range: Annual base salary for this New York, New York-based position is $150,000 - $189,000.

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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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869