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Model Risk Management Jobs in Utah (NOW HIRING)

E*TRADE Risk Officer

Sandy, UT · On-site

$120 - $170/hr

Ensure continuous and appropriate supervisory coverage, working with Management, Site Leaders, and the Senior Risk Officer to maintain coverage models and back-up plans.Oversee adherence to the E*

New

Showing results 41-60

Model Risk Management information

See Utah salary details

$33.2K

$75K

$125.6K

How much do model risk management jobs pay per year?

As of Aug 20, 2026, the average yearly pay for model risk management in Utah is $74,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $82,400.00 per year, depending on experience, location, and employer.

What is a model risk management?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

What are some common challenges faced by professionals in model risk management roles?

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

What are the key skills and qualifications needed to thrive in model risk management, and why are they important?

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What does a model risk management do?

A model risk management professional oversees the identification, assessment, and mitigation of risks associated with financial and operational models. They ensure models are accurate, reliable, and compliant with regulations, often using validation tools and statistical analysis. This role helps prevent financial loss and supports decision-making processes within organizations.

What are the most commonly searched types of Model Risk Management jobs in Utah?

The most popular types of Model Risk Management jobs in Utah are:

What are popular job titles related to Model Risk Management jobs in Utah?

For Model Risk Management jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Model Risk Management jobs?

Cities in Utah with the most Model Risk Management job openings:

Infographic showing various Model Risk Management job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $74,951 per year, or $36 per hour.

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

Goldman Sachs, Inc.

Salt Lake City, UT • On-site

$174K - $224K/yr

Full-time

Posted 9 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: 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

Sourced by ZipRecruiter

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