Senior Retail Credit Risk Modeling Leader

US Bank; Minneapolis (MN); On-site; USD 180,000 - 240,000; Full time

Job summary

U.S. Bank is seeking a senior quantitative leader to oversee retail credit risk modeling within the Model Development and Decision Science (MDDS) group. The role covers CCAR and CECL, and requires shaping modeling strategy and representation in regulatory reviews.

You will lead the Residential Real Estate and Other Retail credit modeling teams, setting standards and partnering with business, risk, validation, and audit to drive high-impact risk decisions.

Qualifications

• Bachelor's degree in a quantitative field; nine+ years of relevant experience.
• Five+ years of experience leading credit risk model development.
• Strong knowledge of regression, time-series, and ML methods; model governance.
• Proficient in Python, SQL, SAS and data platform best practices.

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.
• Oversee model development, testing, documentation, implementation, monitoring, and use.
• Lead and develop managers responsible for retail credit risk modeling teams.
• Advance scalable processes, analytics capabilities, and data/tech support.
• Lead modeling responses to regulatory exams, audits, and validations; engage with regulators.

Skills

Quantitative leadership

People leadership

Communication

Statistical modeling

Python

SQL

SAS

Model governance

Regulatory knowledge

Education

Bachelor's degree in quantitative field

MA/MS/PhD preferred

Tools

Python

SQL

SAS

Job description

U.S. Bank is seeking a senior quantitative leader to oversee retail credit risk modeling within the Model Development and Decision Science (MDDS) group. The role covers CCAR and CECL, and requires shaping modeling strategy and representation in regulatory reviews.

You will lead the Residential Real Estate and Other Retail credit modeling teams, setting standards and partnering with business, risk, validation, and audit to drive high-impact risk decisions.