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Associate Quantitative Risk Analyst Jobs in Utah

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 ...

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 ...

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 ...

This role supports the broader risk governance frameworks, regulatory compliance, and strategic decision-making through quantitative analysis and reporting. The Risk Management function is dedicated ...

This role supports the broader risk governance frameworks, regulatory compliance, and strategic decision-making through quantitative analysis and reporting. The Risk Management function is dedicated ...

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.

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 does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

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.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

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, and why are they important?

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.
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Quantitative Risk Analyst

Quantitative Risk Analyst

corpay

Salt Lake City, UT • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Corpay rating

7.5

Company rating: 7.5 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

12th of 20 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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