Quantitative Risk Analyst I

1 week ago


Glenwood Springs, Colorado, United States USAA Full time

The Opportunity

What you'll do:

  • Utilize advanced analytics to identify and assess future risks, opportunities, and effectiveness, providing meaningful solutions to inform business decisions.
  • Assess and mitigate exposures by identifying key and emerging risks aligned with the risk strategy and appetite.
  • Apply analytical skills to produce content for discussions with cross-functional teams to understand complex business objectives and influence solution strategies.
  • Develop and communicate analytical content for discussions with governance committees, business process owners, and cross-functional teams to inform business strategies.
  • Build statistical reporting and financial analysis to forecast results for required stress test scenarios, including analyzing and validating stress testing results and collaborating with relevant functions.
  • Maintain model validations, produce model validation reports, measure and aggregate model risks, and report on model issues to committees, auditors, and regulators.

What you have:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative subject area, with 4 additional years of related experience beyond the minimum required substituting in lieu of a degree.
  • 4 years of related quantitative analysis experience in a subject area relevant to risk management, including statistical analysis, modeling, mathematics, or other quantitative subject areas.
  • OR advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative subject area, with 2 years of work experience in a quantitative subject area relevant to risk management.
  • OR PhD in Economics, Finance, Statistics, Mathematics, or other quantitative subject area.

What sets you apart:

  • Solid experience in the financial services sector, with a focus on risk management in roles requiring problem-solving and analytical capabilities.
  • Experience in stress testing (CCAR/DFAST) is highly desirable, with experience in one or more risk stripes strongly preferred.
  • Knowledge of bank products and insurance products, with experience in loss forecast modeling and PPNR modeling preferred.
  • Experience in scenario design, sensitivity analysis, and risk identification processes.
  • Excellent data analytics and quantitative skills, with experience in Python, R, SQL, Tableau, and ability to derive patterns, trends, and insights.
  • Excellent writing and presentational skills, with the ability to convey complex concepts in simple terms to a non-expert audience.
  • Demonstrated organizational skills to handle multiple deliverables.
  • US military experience through military service or a military spouse/domestic partner.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

What we offer:

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure competitiveness. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $89,990 - $172,000.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

Benefits: At USAA, our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental, and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assist employees with their professional goals.



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