U.S. Bank · 11 hours ago
Quantitative Model Validation Analyst – Credit Risk
U.S. Bank is on a journey to help customers make better financial decisions. The Quantitative Model Validation Analyst will create, validate, and oversee complex statistical models for Stress Testing and Credit Loss estimations, ensuring compliance with regulatory standards.
BankingFinancial ServicesInsuranceMortgageWealth Management
Responsibilities
Create, validate, test, document, implement and/or oversee usage of complex statistical models that are used as part of financial decision-making process
Deliver comprehensive written reports, modeling code, business requirements, monitoring reports and related code, and procedures to regulatory and senior management
Develop, validate risk forecasting models, probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), Net Charge-off (NetCo), and Economic Factor Models
Work on a combination of Stress Testing (CCAR) and Credit Expected Credit Losses (CECL) estimations statistical models
Manage and track recommendations related to model validation and implementation verification process
Qualification
Required
Bachelor's degree in a quantitative field, and five or more years of relevant experience
OR MA/MS in a quantitative field, and three or more years of related experience
OR PhD in a quantitative field, and less than two years of related experience
Three plus years of large size commercial bank working experience in risk model validation
Advanced experience of financial statistical modeling methods (Hazard models, Regression models, Decision Tree models, Time Series, Machine Learning, etc.)
Related experience with Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for CCAR and CECL
Working experience in CCAR and CECL estimation for both retail and wholesale portfolios, including portfolio such as Residential Mortgage, Consumer Credit Cards/Lines, Wholesale C&I, Wholesale CRE, and Small Business
Familiar with the bank reporting and data system
Have advanced ability to deal with large data and complete model validation and implementation verification process
Ability to write and enhance automated testing programs for model performance assessment
Preferred
An advanced quantitative field degree (MA/MS or PHD) is required
The role should have financial industry experience in statistical programming including Python, SAS, R, and SQL
Strong statistical programming skills in Python, SAS, R, SQL
A programming certification is a plus
Strong oral and written communication skills, capable of addressing both technical and non-technical audience
Experience interpreting and applying complex financial regulations or accounting standards
Responsible for delivering and reviewing comprehensive written model technical documents to present outcomes to senior management of related department across the bank and regulatory agencies
This role prefers education background to cover both quantitative skills and business or financial knowledge such as Mathematical plus finance degrees, Statistic plus Economics, Scientific Computation, Operational research engineering plus business administration
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Company
U.S. Bank
At U.S.
Funding
Current Stage
Public CompanyTotal Funding
$991MKey Investors
U.S. Department of the TreasuryMitsubishi UFJ Financial Group
2023-09-29Post Ipo Debt· $55M
2023-08-03Post Ipo Debt· $936M
1978-01-13IPO
Leadership Team
Recent News
2026-01-22
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2026-01-20
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