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$98K

$169.7K

$259.5K

How much do goldman sachs quant jobs pay per year?

As of Aug 17, 2026, the average yearly pay for goldman sachs quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a Goldman Sachs Quant?

A Goldman Sachs Quant, or quantitative analyst, is a professional who uses advanced mathematical models, algorithms, and data analysis to inform financial strategies and risk management at Goldman Sachs. Quants play a crucial role in developing pricing models for securities, optimizing trading strategies, and managing financial risk. They typically have strong backgrounds in mathematics, statistics, computer science, or related fields, and are skilled at programming and data analysis. Their work supports decision-making in areas like trading, asset management, and investment banking.

What are the key skills and qualifications needed to thrive as a Goldman Sachs Quant?

To thrive as a Goldman Sachs Quant, you need strong quantitative analysis, mathematical modeling, and programming skills, typically supported by an advanced degree in mathematics, physics, engineering, or a related field. Expertise in programming languages such as Python, C++, MATLAB, and familiarity with financial data systems are commonly required. Exceptional problem-solving abilities, attention to detail, and effective communication set outstanding candidates apart. These skills and qualities are vital for developing innovative financial models, managing risk, and driving informed investment decisions in a highly competitive environment.

How does a Goldman Sachs Quant typically collaborate with other teams, such as traders and software engineers?

As a Quant at Goldman Sachs, you'll work closely with traders to develop, test, and refine mathematical models used for pricing and risk management of financial products. Collaboration with software engineers is also common, as they help implement your models into trading platforms and ensure they are scalable and robust. Effective communication and teamwork are key, as you'll often translate complex quantitative concepts into actionable insights for colleagues with diverse technical backgrounds. This cross-functional environment provides opportunities for both technical growth and broader business understanding.

What is the difference between Goldman Sachs Quant vs Goldman Sachs Quantitative Analyst?

AspectGoldman Sachs QuantGoldman Sachs Quantitative Analyst
Required CredentialsDegree in Math, Finance, or related field; often advanced degreesSimilar educational background; certifications like CFA or FRM are common
Work EnvironmentFast-paced, collaborative teams focused on model development and risk managementSimilar environment, emphasizing data analysis, model building, and trading strategies
Employer & Industry UsageUsed interchangeably in finance firms, especially in quantitative research and tradingOften considered a specific role within the broader 'Quant' category

Goldman Sachs Quant and Goldman Sachs Quantitative Analyst are closely related roles within the firm’s quantitative finance division. Both require strong analytical skills, advanced degrees, and familiarity with financial models. The main difference lies in terminology; 'Quant' is a broad term, while 'Quantitative Analyst' specifies the role. They share similar work environments and responsibilities, focusing on developing models, risk assessment, and trading strategies.

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Goldman Sachs Quant jobs near you
Infographic showing various Goldman Sachs Quant job openings in the United States as of August 2026, with employment types broken down into 30% Full Time, and 70% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

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

Goldman Sachs, Inc.

New York, NY • On-site

$150K - $189K/yr

Full-time

Posted 5 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 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

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