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Credit Quant Jobs in Utah (NOW HIRING)

Senior Auditor

Sandy, UT · On-site

$77K - $94K/yr

Analyzes and prepares reports and graphs that reflect trends in the credit union. * Identifies ... Education 4-year degree in a finance, accounting, or quantitative discipline, or related field.

Manager, Data Science & Modeling

South Jordan, UT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What we do We provide credit cards, recreational loans, deposit accounts, merchant services and ... Bachelor's degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math ...

Manager, Data Science & Modeling

South Jordan, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What we do We provide credit cards, recreational loans, deposit accounts, merchant services and ... Bachelor's degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math ...

Working closely with business stakeholders, solution architects, quantitative analysts ... Credit Derivatives * Exchange-Traded Derivatives * Develop enterprise applications using Java ...

Working closely with business stakeholders, solution architects, quantitative analysts ... Credit Derivatives * Exchange-Traded Derivatives * Develop enterprise applications using Java ...

Working closely with business stakeholders, solution architects, quantitative analysts ... Credit Derivatives * Exchange-Traded Derivatives * Develop enterprise applications using Java ...

Calypso Developer

Salt Lake City, UT · On-site

$49.25 - $63.75/hr

Working closely with business stakeholders, solution architects, quantitative analysts ... Credit Derivatives * Exchange-Traded Derivatives * Develop enterprise applications using Java ...

... quantitative experience and governance or other credit/financial discipline. * Experience in people and project management, including demonstrated ability to develop actionable plan to meet high ...

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... of credit history. Since 2012, we've used data, machine learning, and a more human approach to ... M.S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer ...

Showing results 21-40

Credit Quant information

What is the difference between Credit Quant vs Credit Analyst?

AspectCredit QuantCredit Analyst
Required CredentialsAdvanced degrees (e.g., Master’s, PhD), quantitative certifications (e.g., CFA, FRM)Bachelor’s degree often sufficient, finance or economics background
Work EnvironmentQuantitative teams, research-focused, often in investment banks or hedge fundsCredit departments, risk management, lending institutions
Industry UsageUsed for modeling, risk assessment, and algorithm developmentUsed for credit evaluation, client assessment, and loan decisions

While Credit Quant professionals focus on developing complex models and quantitative analysis for risk and pricing, Credit Analysts primarily evaluate creditworthiness of clients and make lending decisions. Both roles are essential in finance but differ in their focus, skills, and daily tasks.

What are popular job titles related to Credit Quant jobs in Utah?

For Credit Quant jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Credit Quant jobs?

Cities in Utah with the most Credit Quant job openings:

Asset & Wealth Management-Salt Lake City-Vice President, Quantitative Engineering-10412228

Goldman Sachs Group, Inc.

Salt Lake City, UT • On-site

$200 - $320/hr

Other

Posted yesterday

New


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: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Lead the development, implementation, and documentation of 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.Mentor junior and mid-level team members.

Job Requirements: Master’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and three (3) years of experience in job offered or a related quantitative engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and five (5) years of experience in job offered or a related quantitative engineering role OR PhD degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role. Prior experience must include three (3) years of experience (with a Master’s degree) OR five (5) years of experience (with a Bachelor’s degree) OR one (1) year of experience (with a PhD degree) with 5 of the 8 following skills: C++, Java, or Python; performing financial mathematics, including at least one of the following: stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte-Carlo techniques; performing analysis leveraging market risk, credit risk, liquidity risk, or mathematical finance concepts; object-oriented programming and scripting programming languages such as Python or Java; implementing mathematical models or analytics in production-quality software; working with database query languages, such as SQL, MongoDB, or other data management tools to process large datasets; applying algorithms or data structures to write complex programs; and developing pricing models for financial products to model risk, economics, and cash flows under normal and distressed market environments.

©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