Retail Credit Risk Modeling Leader (Credit Risk Administration)

U.S. Bank • Minneapolis, MN

2d • Hybrid

About The Position

U.S. Bank’s Credit Risk Administration (CRA) team is seeking a senior quantitative leader for the Model Development and Decision Science (MDDS) group. The role leads the Residential Real Estate and Other Retail credit risk modeling teams, including managers responsible for teams that build and maintain complex, high-profile models supporting capital stress testing, including CCAR, and allowance for credit losses, including CECL.

The leader will shape retail credit modeling strategy, set quantitative direction and methodology standards, and ensure consistent, high-quality model development and governance practices. The role partners with senior and executive leaders and represents the modeling domain in regulatory, audit, and validation reviews. It also advances scalable processes, analytical capabilities, data, and technology while developing managers and strengthening talent and succession readiness.

This position requires working from a posted U.S. Bank location three or more days per week. Primary hiring locations are Minneapolis and Charlotte.

Requirements

• Bachelor’s degree and nine or more years of relevant experience.
• Five or more years of experience leading credit risk model development or closely related experience.

Nice To Haves

• Master’s, Ph.D., or other advanced degree in a quantitative field.
• Technical vision and credibility to shape modeling direction and standards across multiple teams and portfolios, with sound independent judgment in complex, ambiguous, and high-impact situations.
• Demonstrated ability to develop managers and talent, build high-performing teams, establish succession readiness, and guide organizations through change.
• Ability to explain complex quantitative concepts, approaches, results, limitations, and business implications clearly to senior, executive, and nontechnical audiences, while building trust and alignment with business, risk, validation, and audit partners.
• Extensive knowledge of regression techniques, parametric and non-parametric algorithms, time-series, survival, segmentation, and other statistical methods, as well as model validation tests and methodologies.
• Experience with machine learning and explainability techniques.
• Experience using Python, SQL, SAS, or comparable analytical tools and modern data platforms to oversee, evaluate, and credibly challenge complex modeling work.
• Knowledge of sound engineering practices, including version control, testing, and reproducible pipelines.
• Deep understanding of mortgage, home equity, credit cards, and other consumer lending products; borrower, collateral, and macroeconomic risk drivers; quantitative and qualitative credit risk factors; portfolio risk; industry and competitive risks; and related risk-management approaches.
• Thorough knowledge of CECL, CCAR/DFAST, related supervisory guidance, model risk management, and emerging AI/ML governance expectations.
• Experience leading platform migrations, automation, or large-scale modeling transformation programs.

Responsibilities

• Lead a portfolio of complex, high-profile retail credit model development projects.
• Set quantitative direction, model structures, and methodology standards across retail credit risk in coordination with other MDDS leaders.
• Oversee model development, testing, documentation, implementation, monitoring, and use to ensure consistent, high-quality practices.
• Lead and develop managers responsible for retail credit risk modeling teams, strengthening talent, succession readiness, and organizational execution.
• Advance scalable processes, analytical capabilities, and supporting data and technology.
• Lead modeling responses to regulatory exams, audits, and model validations, and engage directly with regulators and senior stakeholders.
• Build strategic relationships with business, risk, validation, and audit leaders to align on high-impact issues.
• Communicate model approaches, results, limitations, and implications to senior and executive audiences to inform material business and risk decisions.

Benefits

• Healthcare (medical, dental, and vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• 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 worked, up to 80 hours per calendar year unless otherwise provided by law
• Incentive and recognition programs
• Equity stock purchase
• Pension

What This Job Offers

• Job Type: Full-time
• Career Level: Senior