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Day Shift Quantitative Risk Modeler Jobs (NOW HIRING)

Perform qualitative and quantitative risk analyses, including Monte Carlo simulation modeling, to evaluate project cost and schedule exposure. * Analyze and model individual project risks and ...

Perform qualitative and quantitative risk analyses, including Monte Carlo simulation modeling, to evaluate project cost and schedule exposure. * Analyze and model individual project risks and ...

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... Support quantitative risk model implementations to support the Financial Risk Management department

Perform qualitative and quantitative risk analyses, including Monte Carlo simulation modeling, to evaluate project cost and schedule exposure. * Analyze and model individual project risks and ...

Senior Quantitative Software Engineer

Jersey City, NJ · Hybrid

$127K - $168K/yr

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... Support quantitative risk model implementations to support the Financial Risk Management department

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How much do day shift quantitative risk modeler jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for day shift quantitative risk modeler in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Shift Quantitative Risk Modeler jobs? The most popular types of Shift Quantitative Risk Modeler jobs are:
Infographic showing various Day Shift Quantitative Risk Modeler job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 78% Full Time, 3% Part Time, and 15% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.
Engineering - Dallas - Associate, Quantitative Engineering - 033664

Engineering - Dallas - Associate, Quantitative Engineering - 033664

Goldman Sachs, Inc.

Dallas, TX

Other

Posted 10 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Dallas, Texas. 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, Financial Engineering, 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, Financial Engineering, 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