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Associate Quantitative Risk Analyst Jobs in Utah

corpay

Quantitative Risk Analyst

Salt Lake City, UT · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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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Associate Quantitative Risk Analyst information

What is an associate quantitative risk analyst?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an associate quantitative risk analyst?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.

What are some common challenges faced by associate quantitative risk analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

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

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

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Associate Quantitative Risk Analyst jobs near you

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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