Quantitative Model Analyst – Commercial Credit Risk (CECL)

U.S. Bank; Minneapolis (MN); On-site; USD 132,000 - 156,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) plan

Paid vacation

Holiday opportunities

Sick leave

Job summary

U.S. Bank is seeking a motivated individual contributor to support the Model Development & Decision Science (MDDS) team within Credit Risk Administration (CRA).

The role focuses on developing, maintaining, and monitoring expected loss forecasting models for the Commercial & Industrial portfolio to support CECL, CCAR, and related risk management needs. You will collaborate with risk, finance, model validation, and audit teams, preparing data, analyses, and reproducible code while growing in model

Qualifications

• Bachelor’s degree in a quantitative field, and eight or more years of relevant experience
• MA/MS in a quantitative field, and five or more years of related experience
• PhD in a quantitative field, and four or more years of related experience
• Proficiency with at least one programming or analytics tool (Python/R/SAS/SQL) and ability to learn additional tools as needed
• Clear written and verbal communication skills, including documentation of work and results

Responsibilities

• Model development: design model development plan including model design, model methodology, model selection, model testing, benchmarking, and documentation under guidance of senior model developers.
• Data preparation and analysis: compile datasets, perform quality checks, and run standard exploratory analysis to support model development and monitoring.
• Partner with business and risk partners to understand data definitions and document changes in portfolio attributes or reporting needs.
• Monitoring and reporting: help prepare routine performance metrics and summaries; flag data or performance issues for follow-up.
• Documentation support: assist with preparing exhibits, tables, and written summaries used in governance, validation, and regulatory-related materials.
• Process improvement: identify opportunities to streamline data pulls, reporting, and repeatable analyses using existing tools and team guidance.
• You may collaborate with onshore and offshore partners to complete repeatable data and reporting tasks, following established procedures and quality checks.

Skills

Quantitative analysis

Predictive modeling

Communication

Team collaboration

Education

Bachelor's degree in a quantitative field

MA/MS in a quantitative field

PhD in a quantitative field

Tools

Python

R

SAS

SQL

Job description

U.S. Bank is seeking a motivated individual contributor to support the Model Development & Decision Science (MDDS) team within Credit Risk Administration (CRA).

The role focuses on developing, maintaining, and monitoring expected loss forecasting models for the Commercial & Industrial portfolio to support CECL, CCAR, and related risk management needs. You will collaborate with risk, finance, model validation, and audit teams, preparing data, analyses, and reproducible code while growing in model