Quant Model Validation Analyst – Risk

U.S. Bank; Minneapolis (MN); Hybrid; USD 105,000 - 124,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Paid time off

Job summary

U.S. Bank is seeking an experienced Quantitative Model Validation Analyst to join the Risk Management and Compliance organization.

You will validate macroeconomic forecasting models used in CCAR, CECL, and capital planning, and work with model owners, developers, and regulators to ensure model fitness for use. The role requires strong quantitative skills, experience with econometric modeling, time-series analysis and stress testing, and the ability to communicate complex concepts clearly to

Qualifications

• Bachelor’s degree in a quantitative field and 5+ years of relevant experience
• MA/MS in a quantitative field and 3+ years of related experience
• PhD in a quantitative field and < 2 years of related experience

Responsibilities

• Validate macroeconomic forecasting models used for regulatory and business planning
• Conduct risk-focused validations and challenge model assumptions and methodology
• Document validation procedures and present results to governance committees and executives
• Interact with Model Owners, Developers, risk, finance, treasury, and regulators to explain findings

Skills

Economics knowledge

Finance knowledge

Statistics

Mathematics

Forecasting

Critical thinking

Problem solving

Written communication

Verbal communication

Regulatory knowledge

Education

Bachelor's degree in quantitative field

MA/MS in quantitative field

PhD in quantitative field

Tools

Python

SAS

R

Excel

Job description

U.S. Bank is seeking an experienced Quantitative Model Validation Analyst to join the Risk Management and Compliance organization.

You will validate macroeconomic forecasting models used in CCAR, CECL, and capital planning, and work with model owners, developers, and regulators to ensure model fitness for use. The role requires strong quantitative skills, experience with econometric modeling, time-series analysis and stress testing, and the ability to communicate complex concepts clearly to