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Quantitative Risk Analyst Jobs in Utah (NOW HIRING)

SoFi

Fraud Model Analyst

Cottonwood Heights, UT

... fraud, risk analytics, model governance, or related roles * Bachelor's degree in a quantitative ... field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science) or equivalent ...

SoFi

Fraud Model Analyst

Cottonwood Heights, UT · On-site

... fraud, risk analytics, model governance, or related roles * Bachelor's degree in a quantitative ... field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science) or equivalent ...

Tecolote Research

Senior Cost Engineer Analyst

UT · On-site

$76K - $97K/yr

Demonstrated experience reviewing project parameters (scope, cost, schedule, risk, etc.) to ... Excellent verbal communication, written, and quantitative analytical skills are required.

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

Contribute to the enhancement of data quality procedures and risk controls. * Cross-Functional ... Strong analytical and quantitative skills. * Previous experience with vended software, like Moody ...

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

Contribute to the enhancement of data quality procedures and risk controls. * Cross-Functional ... Strong analytical and quantitative skills. * Previous experience with vended software, like Moody ...

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

Contribute to the enhancement of data quality procedures and risk controls. * Cross-Functional ... Strong analytical and quantitative skills. * Previous experience with vended software, like Moody ...

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Quantitative Risk Analyst information

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$51.4K

$121.9K

$218.5K

How much do quantitative risk analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for quantitative risk analyst in Utah is $121,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Utah? The most popular types of Quantitative Risk Analyst jobs in Utah are:
What are popular job titles related to Quantitative Risk Analyst jobs in Utah? For Quantitative Risk Analyst jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Utah look for? The top searched job categories for Quantitative Risk Analyst jobs in Utah are:
What cities in Utah are hiring for Quantitative Risk Analyst jobs? Cities in Utah with the most Quantitative Risk Analyst job openings:
Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in Utah as of June 2026, with employment types broken down into 4% As Needed, 77% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $121,878 per year, or $58.6 per hour.
Risk-Salt Lake City-Associate, Credit Risk-9702045

Risk-Salt Lake City-Associate, Credit Risk-9702045

Goldman Sachs, Inc.

Salt Lake City, UT

Other

Posted 23 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, Credit Risk with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Assess the credit and financial strength of the Corporates counterparts by performing fundamental credit analysis of both quantitative and qualitative credit factors. Assess and manage the risk of loss resulting from the failure of a counterparty to meet its contractual obligations across the firm's trading and credit businesses. Responsible for approving transactions, setting credit exposure limits, monitoring adherence to those limits, measuring credit exposure and losses from counterparty default. Conduct in-depth analyses related to causes and effects of credit events and conduct sector and/or regional (i.e. country) based concentration analyses. Recommend and defend internal and regulatory risk ratings for counterparts/transactions as required. Perform counterparty research reviews and analysis of corporate counterparts. Present findings and recommendations to senior management and answer questions relating to analysis performed. Proactively monitor and assess counterparts and industry subsectors including based on market indicators, regulatory guidance, rating agency commentary and counterparty surveillance and report relevant information and its impact to senior management in a timely manner. 

Job Requirements: Master's degree (U.S. or foreign equivalent) in Finance, Computational Finance and Risk Management, Economics, or a related field and one (1) year of experience in job offered or a related role OR Bachelor's degree (U.S. or foreign equivalent) in Finance, Computational Finance and Risk Management, Economics, or a related field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year (with master's degree) or three (3) years (with bachelor's degree) of experience with: working with derivatives, loans and other products that give rise to credit risk to institutional counterparties; familiarity with regulatory rating requirements and application of such guidance is preferred - experience with credit regulatory processes such as the Shared National Credit (SNC) or Allowance for Loan and Lease Losses (ALLL); applying accounting methods (both Generally Accepted Accounting Principle and International Financial Reporting Standards) to analyze financial reports and explain performance variances; building financial models in Excel using advanced functionality, including macros, pivot tables, v-lookup, slicers, and h-lookup and Microsoft PowerPoint, to produce and present analytical insights and highlight data trends; utilizing Business Intelligence Software solutions, including Tableau, to provide actionable insights for Business decisions; and credit risk management experience, with a background in corporate credit risk.

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

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