Quantitative Model Validation Analyst – Credit Risk

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever‑growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at—all from Day One.

This role will be part of a highly visible and dynamic quantitative risk function within U.S. Bank that leads Stress Testing (CCAR) and Current Expected Credit Losses (CECL) estimations. The primary duty of the job is to create, validate, test, document, implement and/or oversee usage of complex statistical models that are used as part of the financial decision‑making process. Deliverables to regulatory and senior management include the creation of comprehensive written reports, modeling code, business requirements, monitoring reports and related code, and procedures.

This position will work on a combination of Stress Testing (CCAR) and Credit Expected Credit Losses (CECL) estimations statistical models. The role requires developing, validating risk forecasting models, probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), Net Charge‑off (Net Co), and Economic Factor Models.

This role emphasizes complex statistical models under CCAR stress testing guidance and CECL ASU rule. It requires experience with the development process, quarterly continuous monitoring process, inaugural validation process, and capital reconciliation process. It also requires knowledge of the bank’s reporting data system to complete development/validation data compilation and implementation verification, and experience managing and tracking recommendations.

• Three plus years of large‑size commercial bank working experience in risk model validation.
• Advanced experience of financial statistical modeling methods (hazard models, regression models, decision tree models, time series, machine learning, etc.).
• Related experience with Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for CCAR and CECL.
• Working experience in CCAR and CECL estimation for both retail and wholesale portfolios, including residential mortgage, consumer credit cards/lines, wholesale C&I, wholesale CRE, and small business.
• Familiar with the bank reporting and data system.
• Advanced ability to deal with large data and complete model validation and implementation verification process.
• Ability to write and enhance automated testing programs for model performance assessment.

• Bachelor’s degree in a quantitative field and five or more years of relevant experience.
• MA/MS in a quantitative field and three or more years of related experience.
• PhD in a quantitative field and less than two years of related experience.

• Advanced degree in quantitative discipline (MS/MA/PhD).
• Education background covering both quantitative skills and business or financial knowledge such as mathematics plus finance, statistics plus economics, scientific computation, operational research engineering plus business administration.
• Strong statistical programming skills in Python, SAS, R, SQL. A programming certification is a plus.
• Strong oral and written communication skills, capable of addressing both technical and non‑technical audiences.
• Experience interpreting and applying complex financial regulations or accounting standards.
• Responsible for delivering and reviewing comprehensive written model technical documents to present outcomes to senior management of related departments across the bank and regulatory agencies.

This role requires working from a U.S. Bank location three (3) or more days per week.

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short‑term and long‑term disability
• Pregnancy disability and parental leave
• 401(k) and employer‑funded…