Commercial Credit Risk Modeler – CECL/CCAR

U.S. Bank; New York (NY); On-site; USD 132,000 - 156,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement

Paid vacation

Job summary

U.S. Bank is seeking a diligent individual contributor to support the Model Development & Decision Science team within Credit Risk Administration.

You will help develop, maintain, and monitor expected loss forecasting models for our Commercial & Industrial portfolio in support of CECL, CCAR, and related risk management needs. The role emphasizes quantitative problem solving, collaboration with partners across risk, finance, model validation, and governance, and adaptability to a regulated

Qualifications

• Bachelor’s degree in a quantitative field; eight+ years of relevant experience.
• MA/MS in a quantitative field; five+ years of related experience.
• PhD in a quantitative field; four+ years of related experience.

Responsibilities

• Model development: design plan including model design, methodology, testing, benchmarking, and documentation under guidance.
• Data preparation and analysis: compile datasets, perform quality checks, run exploratory analysis.
• Collaborate with risk, finance, validation, and audit stakeholders; deliver clear summaries and reproducible code.

Skills

Quantitative analysis

Data interpretation

Communication

Collaboration

Attention to detail

Education

Bachelor’s degree in a quantitative field

MA/MS in a quantitative field

PhD in a quantitative field

Tools

Python

R

SQL

SAS

Job description

U.S. Bank is seeking a diligent individual contributor to support the Model Development & Decision Science team within Credit Risk Administration.

You will help develop, maintain, and monitor expected loss forecasting models for our Commercial & Industrial portfolio in support of CECL, CCAR, and related risk management needs. The role emphasizes quantitative problem solving, collaboration with partners across risk, finance, model validation, and governance, and adaptability to a regulated