Retail Credit Risk Modeling Leader (Credit Risk Administration)

U.S. Bank•Minneapolis, MN

18h•$170,255 - $200,300•Hybrid

About The Position

U.S. Bank’s Credit Risk Administration team is seeking a senior quantitative leader for the Model Development and Decision Science 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 models supporting capital stress testing, including CCAR, and allowance for credit losses, including CECL. The leader works with senior and executive leaders to shape retail credit modeling strategy and represents the domain in regulatory, audit, and validation reviews.

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.
Quantitative leadership and sound independent judgment in complex, ambiguous, and high-impact situations.
Ability to develop managers and talent, build high-performing teams, establish succession readiness, and guide organizations through change.
Ability to explain complex quantitative concepts and business implications to senior, executive, and nontechnical audiences and build alignment with business, risk, validation, and audit partners.
Extensive knowledge of regression techniques, parametric and non-parametric algorithms, time-series, survival, segmentation, other statistical methods, and model validation tests and methodologies.
Experience with Python, SQL, SAS, or comparable analytical tools and modern data platforms.
Deep understanding of mortgage, home equity, credit cards, and other consumer lending products; borrower, collateral, and macroeconomic risk drivers; and related credit risk and portfolio risk-management approaches.
Thorough knowledge of CECL, CCAR/DFAST, related supervisory guidance, and model risk management.
Ability to work from a posted U.S. Bank location three or more days per week.

Nice To Haves

A master’s degree, MS, or PhD in a quantitative field.
Experience with machine learning and explainability techniques.
Knowledge of sound engineering practices, including version control, testing, and reproducible pipelines.
Knowledge of 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 execution across the organization.
Advance scalable processes, analytical capabilities, and supporting data and technology.
Lead the modeling response 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.