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Quantitative Risk Analyst Jobs in Utah (NOW HIRING)

Tecolote Research

Senior Cost Analyst

UT · On-site

$76K - $97K/yr

... risk analysis, performance measurement (earned value), project forecasting and risk assessment ... We are seeking individuals with excellent quantitative and analytical skills for senior level cost ...

Imh

Senior Investment Analyst

Salt Lake City, UT

Support qualitative and quantitative due diligence efforts for prospective and existing private ... risk assessment across private markets portfolios. * Build and maintain financial models ...

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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 Sep 8, 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 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 key skills and qualifications needed to thrive as a quantitative risk analyst?

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,878 per year, or $58.6 per hour.

Wildland Fire Modeling Specialist

Redcastle Resources

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 5 days ago

Job description

Company Background 

RedCastle Resources is a progressive, employee-friendly company providing geospatial and information technology support to natural resource management agencies throughout the country and around the world. We specialize in the analysis of remote sensing, ecological, and other geospatial data, focusing on technical expertise and communicating with natural resource managers and other subject matter experts. The majority of our staff provide support through contracts with the USDA Forest Service, assisting National Forests, Regional and Washington Offices, USFS Research, International Programs, and partner federal agencies to use advanced geospatial data and technology for improved mapping, inventorying, and monitoring of natural resources.

Position Description 

The Modeling and Simulation Specialist (Wildland Fire) will serve as key personnel on the RedCastle Resources team, leading advanced wildland fire behavior modeling, wildfire transmission analysis, and quantitative risk assessments for the USDA Forest Service and partner federal agencies. The successful candidate will apply state-of-the-art wildfire simulation systems (such as FSim, FlamMap, and FARSITE) to execute landscape-level risk evaluations, evaluate fuel treatment effectiveness, and model potential fire impacts on High-Valued Resources and Assets (HVRAs) across diverse forest and rangeland ecosystems.

This individual will integrate remote sensing, terrain, weather/climate, and fuels data into robust spatial models and quantitative response functions. Additionally, this position may occasionally develop and deliver training to adult learners and natural resource specialists on topics including wildland fire behavior modeling, spatial risk assessment methodologies, and integration of fire data into forest management planning. Occasional field work or travel is required.

Key Responsibilities & Qualifications

The successful candidate will demonstrate strong technical expertise in wildland fire science, spatial modeling, and natural resource management.

The following characteristics and qualifications are required:

  • Education & Experience:
    • Master’s degree or Ph.D. in fire ecology, forestry, wildland fire science, or a closely related natural resources field with at least 5 years of professional experience; OR
    • Bachelor’s degree in a related field with at least 10 years of specialized experience.
  • Direct, demonstrated experience applying advanced wildfire simulation systems—specifically FSim (Fire Simulator)—for quantitative wildfire risk assessments (QWRAs) following USDA Forest Service General Technical Reports (e.g., RMRS-GTR-315).
  • Proficiency with additional fire behavior and spatial modeling tools (e.g., FlamMap, FARSITE, BehavePlus, IFTDSS).
  • Personal and professional interest in natural resources and the application of geospatial technologies to fire and fuels management problems.
  • Strong experience with geospatial and statistical software, particularly Google Earth Engine (GEE), ArcGIS (Pro/Enterprise), R, and Python (including spatial/data analysis libraries like geopandas, rasterio, numpy).
  • Solid background in landscape ecology, vegetation dynamics, wildland fuel characterization, and field sampling methods.
  • Excellent written and verbal communication skills, including technical writing for agency reporting and executive summaries.
  • Aptitude and willingness to successfully communicate complex modeling results and teach fire science concepts to resource specialists and adult learners.

Successful candidates must be self-motivated, demonstrate initiative, be able to work independently, collaborate effectively with interdisciplinary resource teams, and adapt to changing client priorities.

Salary & Benefits

Salary will be commensurate with qualifications and experience. This key personnel position offers a generous benefits package which includes health and dental insurance, company matching 401(k) and profit sharing, long- and short-term disability insurance, and paid vacation and holidays.