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Quantitative Risk Analyst Jobs in Utah (NOW HIRING)

corpay

Quantitative Risk Analyst

Salt Lake City, UT · Hybrid

What We Need Corpay is looking for a Quantitative Risk Analyst to join our cross-border TMS Analytics team. In this role, you will sit behind Corpay's proprietary Treasury Management System (TMS ...

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.

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.

Quantitative Risk Analyst

corpay

Salt Lake City, UT • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Corpay rating

7.4

Company rating: 7.4 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

13th of 21 rated payment service providers

Job description

What We Need                                                          

Corpay is looking for a Quantitative Risk Analyst to join our cross-border TMS Analytics team. In this role, you will sit behind Corpay's proprietary Treasury Management System (TMS) suite — tools used by global corporates to manage FX risk through balance sheet hedging, cash flow hedging, and intercompany netting. You will manage client data workflows, maintain and troubleshoot Python-based automations, and build customized analytical outputs that help clients get the most out of our platforms. This is a replacement hire on a high-performing team of three, and we're looking for someone with real Python coding ability and a genuine curiosity about FX and treasury operations.

How We Work

As a Quantitative Risk Analyst you will be expected to work in a hybrid environment. Corpay will set you up for success by providing:

  • Assigned workspace in South Jordan, UT (3 days/week in office preferred)
  • Company-issued equipment
  • Hands-on training with Corpay's in-house TMS product suite

Role Responsibilities

  • Ingest, transform, and format client FX data for use within Corpay's TMS tools (ETL front-end)
  • Maintain, troubleshoot, and restore Python automation pipelines when data formats shift or scripts fail
  • Build custom output files, reports, and data extracts that go beyond standard system-generated deliverables
  • Collaborate with senior team members on complex client data requests and escalations
  • Support client-facing analytics used in retention meetings, sales demos, and onboarding
  • Identify opportunities to convert manual processes into repeatable, automated workflows
  • Assist clients in routing data outputs back into their ERP or accounting systems as needed

Qualifications & Skills #FinanceJobs #RemoteJobs #SouthJordanUT  #LI-TB1

  • Hands-on Python experience — ability to read, debug, and modify scripts in a production environment (required)
  • Understanding of ETL concepts: data ingestion, transformation, and output formatting
  • Exposure to FX markets, treasury management, or financial risk concepts (balance sheet/cash flow hedging, intercompany netting) preferred
  • Familiarity with Treasury Management Systems (TMS) or similar financial platforms a strong plus
  • Proficiency with data analysis and visualization tools (Excel, Tableau, Power BI, or similar)
  • Strong analytical and problem-solving skills; able to diagnose automation failures and implement fixes
  • Excellent communication skills — comfortable working with clients, internal analysts, and operations teams
  • Bachelor's degree in Finance, Mathematics, Computer Science, Economics, or related field; OR equivalent work experience

Benefits & Perks #QuantitativeRiskAnalyst #FXAnalytics #TreasuryManagement #Python #Corpay #CrossBorder 

  • Base salary + Target Incentive Plan (TIP)
  • Medical, dental, vision, and life insurance
  • 401(k) with company match
  • Paid time off and holidays
  • Employee stock purchase plan
  • Learning & development opportunities within a global fintech organization

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