Quantitative Model Validation Analyst, Wholesale & Small Business Credit Loss
US Bank
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How this pay compares to similar roles
This role pays less than 51% of similar roles. Most pay $117,000–$187,500 — the blue band above. At the midpoint, this role pays about $144k versus about $152k for comparable roles.
Based on 240 similar postings.
Employer
U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services
US Bank currently has 46 open roles on FindRole.
Listed pay typically runs $119,765–$140,900 across 28 roles with salary data.
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At a glance
The Quantitative Model Analyst - Wholesale Modeling will join the Model Development & Decision Science team within Credit Risk Administration. This role supports the development, maintenance, and monitoring of expected loss forecasting models for the Commercial & Industrial portfolio to meet CECL, CCAR, and internal risk management requirements. Key responsibilities include preparing data, running exploratory analyses, designing model development plans, and documenting results for governance and audit purposes. The successful candidate will utilize Python, R, SAS, and SQL to perform quantitative analysis and predictive modeling. Core competencies include strong attention to detail, clear communication of technical results, and the ability to work within a regulated environment. The position involves solving complex credit risk problems, including probability of default and loss given default, while ensuring reproducible code and high-quality reporting.
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