Quantitative Model Validation Analyst - Wholesale & Small Business Credit Loss

U.S. Bank•Minneapolis, MN
•$105,400 - $124,000•Hybrid

About The Position

U.S. Bank is seeking a curious, motivated, collaborative analyst to join its Wholesale and Small Business Model Validation team within the Model Risk Management department, part of Risk Management and Compliance. The analyst will support independent validation of CCAR and CECL credit loss forecasting models and risk rating scorecard models across commercial portfolios. These models support enterprise credit risk assessment, loss forecasting, reserving, and capital planning. The role involves rigorous analysis, clear documentation, and engagement with stakeholders. The analyst will assess model soundness and performance, investigate emerging risks and changing market conditions, and communicate findings to stakeholders and regulators. The position also supports efforts to improve validation practices and processes and to use advanced tools and technologies to increase efficiency and effectiveness. The role requires working from a U.S. Bank location three or more days per week. The listed pay range is $105,400 to $124,000; the actual range may vary based on the role's location.

Requirements

  • Bachelor’s degree in a quantitative field and five or more years of relevant experience; or a master’s degree in a quantitative field and three or more years of related experience; or a Ph.D. in a quantitative field and less than two years of related experience.
  • Strong problem-solving and research skills, including the ability to investigate complex issues, identify root causes, and develop practical business solutions.
  • Ability to work independently and collaboratively, manage multiple priorities, and respond effectively to time-sensitive requests.

Nice To Haves

  • Master’s or Ph.D. degree in a quantitative discipline with a strong academic record.
  • Proficiency in Python, SAS, or other analytical programming languages.
  • Experience working with complex datasets, regression methodologies, and statistical diagnostic tests.
  • Strong technical writing and communication skills, with attention to detail in documentation and reporting.
  • Experience leveraging AI tools and agents to support coding, research, and process efficiency.

Responsibilities

  • Conduct independent validation of wholesale and small business portfolio credit loss forecasting models supporting CCAR stress testing and CECL requirements.
  • Evaluate model conceptual soundness, assumptions, data reliability, performance metrics, monitoring effectiveness, and implementation testing.
  • Design and execute validation testing, including benchmarking, sensitivity analysis, and outcome analysis, to assess model limitations, uncertainty, assumption risk, and forecast reasonableness.
  • Identify emerging risks and assess how evolving market conditions may affect model performance; research potential model degradation and associated model risk.
  • Document and communicate validation outcomes and findings, ensuring model risks are accurately identified, escalated in a timely manner, and clearly understood by stakeholders and regulators.
  • Support initiatives to enhance validation practices, streamline processes, and leverage advanced tools and technologies to improve efficiency and effectiveness.

Benefits

  • Healthcare, including medical, dental, and vision coverage.
  • Basic term and optional term life insurance.
  • Short-term and long-term disability coverage.
  • Pregnancy disability and parental leave.
  • 401(k) and employer-funded retirement plan.
  • Paid vacation, from two to five weeks depending on salary grade and tenure.
  • Up to 11 paid holiday opportunities.
  • Adoption assistance.
  • Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
  • Comprehensive benefits package that may include incentive and recognition programs, equity stock purchase, 401(k) contribution, and pension, subject to eligibility requirements.
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