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How much do associate differential equations jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for associate differential equations in the United States is $21.70, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.76 per hour, depending on experience, location, and employer.

What is the difference between Associate Differential Equations vs Data Analyst?

AspectAssociate Differential EquationsData Analyst
Required CredentialsBachelor's in Mathematics, Engineering, or related field; knowledge of differential equationsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, academic institutions, engineering firmsBusiness, finance, healthcare, or tech companies
Employer & Industry UsageAcademic, research, engineering industriesCorporate, consulting, technology sectors
Common Search & ComparisonYesNo

Associate Differential Equations professionals focus on solving and analyzing differential equations in academic and research settings, while Data Analysts interpret data to inform business decisions. Although both roles require strong analytical skills, their applications and industries differ significantly.

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Associate Differential Equations jobs near you
Infographic showing various Associate Differential Equations job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $45,131 per year, or $21.7 per hour.
Engineering-Salt Lake City-Associate, Quantitative Engineering-046336

Engineering-Salt Lake City-Associate, Quantitative Engineering-046336

Goldman Sachs

Salt Lake City, UT

Other

Posted 5 days ago

Key responsibilities

  • Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm.

  • Collaborate with internal stakeholders to analyze user needs from a scenario design perspective and address data, model, and implementation issues.

  • Analyze large data sets to build predictive models of business-relevant market variables.

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

39th of 144 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Multiple positions available. 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 Computer Science/Engineering, Financial Engineering, Mathematical Finance, Applied Mathematics, Data Science, Operations Research or related quantitative 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 Computer Science/Engineering, Financial Engineering, Mathematical Finance, Applied Mathematics, Data Science, Operations Research or related quantitative 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; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance. 

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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