Quantitative Model Validation Analyst - Wholesale & Small Business Credit Loss

U.S. Bank•Minneapolis, MN

3d•Hybrid

About The Position

U.S. Bank is hiring a Quantitative Model Validation Analyst for its Wholesale and Small Business Model Validation team within the Model Risk Management department, part of the Risk Management and Compliance organization. The analyst supports 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 quantitative analysis, validation documentation, and stakeholder engagement. The analyst evaluates model conceptual soundness, assumptions, data, performance metrics, monitoring, and implementation testing; designs and executes testing to assess model performance and risk; researches emerging risks and changing market conditions; and communicates validation findings to stakeholders and regulators. The role also contributes to initiatives that improve validation practices and processes and make effective use of advanced tools and technologies. The position requires working from a U.S. Bank location three or more days per week.

Requirements

Bachelor’s degree in a quantitative field and at least five years of relevant experience, or a master’s degree in a quantitative field and at least three years of related experience, or a Ph.D. in a quantitative field and less than two years of related experience.
Strong technical writing and communication skills, with attention to detail in documentation and reporting.
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.
Ability to work from a U.S. Bank location three or more days per week.

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.
Experience using 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, model monitoring, 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 evaluate how evolving market conditions may affect model performance, including researching potential model degradation and associated model risk.
Document and communicate validation outcomes and findings; ensure 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 use advanced tools and technologies to improve efficiency and effectiveness.

Benefits

Healthcare coverage, including medical, dental, and vision.
Basic term and optional term life insurance.
Short-term and long-term disability insurance.
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.
Incentive and recognition programs.
Equity stock purchase, 401(k) contribution, and pension, subject to eligibility requirements.