Credit Risk Model Developer for CRE & Small Business

U.S. Bank; Chicago (IL); Hybrid; USD 98,000 - 116,000; Full time

Benefits offered by this job

Healthcare

401(k) plan

Paid time off

Job summary

U.S. Bank is seeking a meticulous Model Developer to join the MDDS team. You will help build and implement expected loss forecasting models for CRE and Small Business portfolios, ensuring compliance with CECL, CCAR, and related regulatory standards.

You will work with credit risk management, finance, and audit to integrate models into BAU activities and support ongoing performance monitoring. The role requires strong programming skills in Python and SAS, experience with model validation, and the

Qualifications

• Bachelor’s degree in a quantitative field is required or a higher degree with related experience.
• MA/MS in a quantitative field with relevant experience is preferred.
• PhD in a quantitative field is advantageous with limited related experience.

Responsibilities

• Develop and implement expected loss forecasting models for CRE and Small Business portfolios.
• Ensure compliance with CECL, CCAR, and other regulatory requirements.
• Maintain alignment with risk management policies and collaborate with model validation and audit teams.
• Communicate model functions and predictions to stakeholders and support BAU integrations.
• Monitor model performance, backtesting, and data quality.

Skills

Python

SAS

Git

Backtesting

Credit risk modeling

Model validation

Communication

Education

Bachelor's degree in quantitative field

MA/MS in quantitative field

PhD in quantitative field

Tools

Git

SAS

Job description

U.S. Bank is seeking a meticulous Model Developer to join the MDDS team. You will help build and implement expected loss forecasting models for CRE and Small Business portfolios, ensuring compliance with CECL, CCAR, and related regulatory standards.

You will work with credit risk management, finance, and audit to integrate models into BAU activities and support ongoing performance monitoring. The role requires strong programming skills in Python and SAS, experience with model validation, and the