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Quantitative Risk Analyst Jobs in Utah (NOW HIRING)

Clicklease

Senior Risk Analyst

Draper, UT · On-site

Bachelor's degree in Finance, Economics, Statistics, Data Science, or related field. * 4+ years of experience in credit risk, portfolio analytics, or quantitative analysis within financial services.

Goldman Sachs Bank AG

Credit Risk

Salt Lake City, UT · On-site

$90 - $170/hr

Interpret quantitative and qualitative factors drawn from fund's risk reports, portfolio analysis, and client calls * Evaluate derivatives and financing transactions across Global Banking & Markets ...

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Tecolote Research

Journeyman Cost Analyst

UT · On-site

Proficient in performing cost estimating activities such as cost/price analysis, WBS development, and risk analysis. * Excellent verbal communication, written, and quantitative analytical skills are ...

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Quantitative Risk Analyst information

See Utah salary details

$51.4K

$121.9K

$218.5K

How much do quantitative risk analyst jobs pay per year?

As of Aug 19, 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.

Senior Risk Analyst

Clicklease

Draper, UT • On-site

Full-time

Re-posted 27 days ago

Job description

Established in 2018, Clicklease is dedicated to empowering small business owners frequently overlooked by traditional lenders. Our headquarters are located in the vibrant city of Draper, UT, with operations extending to Radial, Alajuela, Costa Rica. We've cultivated a dynamic environment where equipment financing goes beyond being a mere service; it acts as the gateway to realizing entrepreneurial dreams.
Our Core Values:
1. We Are A Happy Company:
At Clicklease, happiness is not just a byproduct; it's a fundamental value. Join a workplace where positivity and joy are cultivated, creating an environment where you can bring your best self to work every day.
2. We Celebrate Collective Intelligence:
We thrive on the brilliance of collaboration. Clicklease is a space where diverse minds come together, combining their intelligence to create solutions that matter. Your ideas are not just heard; they're celebrated.
3. We Practice Empathy:
Empathy isn't just a word in our dictionary; it's a daily practice. Join a team that values understanding and compassion. At Clicklease, we recognize the human side of business and foster a culture where empathy is a guiding principle.
4. We Listen & Learn:
Growth is a continuous journey at Clicklease. We believe in listening and learning from one another. Your insights and experiences contribute to our collective knowledge, making us stronger as a team.
Our Mission:
At Clicklease, we have a clear purpose - to fulfill the capital needs of underserved entrepreneurs and their Main Street Businesses. We achieve this mission through simple, fast, and innovative equipment leasing solutions. This is not just a statement; it's the driving force behind everything we do.
About the role
At Clicklease, we're passionate about helping small businesses access the equipment financing they need to grow and succeed. As a Risk Analyst, you'll support data-driven decision-making by analyzing portfolio performance, identifying trends, and helping monitor credit risk across our lease portfolio. Working closely with teams across Risk, Finance, Data Science, Product, and Operations, you'll gain hands-on experience with financial analytics, reporting, and risk management while contributing to meaningful business outcomes. This is an excellent opportunity for someone early in their career who is curious, analytical, and eager to develop expertise in fintech, lending, and portfolio analytics.
Senior Risk Analyst
What you'll be doing:
  • Independently monitor and manage diverse lease portfolios, owning risk assessment and mitigation for assigned segments.
  • Design and produce portfolio performance reporting and key metrics for executive leadership and board members.
  • Lead data-driven analyses to optimize lease portfolio performance and surface actionable recommendations.
  • Build, validate, and maintain credit risk models and analytical tooling with minimal oversight.
  • Identify, assess, and manage emerging risks, proactively escalating issues with proposed solutions.
  • Conduct regular portfolio reviews and deep-dive analyses to assess risk exposure and portfolio quality.
  • Partner cross-functionally to translate analytical findings into business and policy decisions.
  • Mentor junior analysts and serve as a subject-matter resource on credit risk methodology.
  • Stay ahead of industry trends and regulatory developments to ensure compliance with applicable laws and regulations.

What you have:
  • Bachelor's degree in Finance, Economics, Statistics, Data Science, or related field.
  • 4+ years of experience in credit risk, portfolio analytics, or quantitative analysis within financial services.
  • Proficiency in credit risk modeling techniques and statistical analysis tools (e.g., SQL, Python, or R).
  • Solid understanding of regulatory requirements related to credit risk management.
  • Proven ability to own projects end-to-end and deliver results independently.
  • Strong communication skills, with the ability to present findings to senior stakeholders.

What will make you stand out:
  • Master's degree in Finance, Economics, Statistics, Data Science, or related field.
  • Professional certifications such as Certified Credit Risk Analyst (CCRA) or Chartered Risk Analyst (CRA).
  • Hands-on experience with advanced techniques such as stress testing and scenario analysis.
  • Experience building production-grade models or analytical pipelines.
  • Knowledge of emerging technologies and best practices in credit risk management.

Clicklease only accepts resumes submitted in English

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