Validator Quantitative Specialist

US Bank

Hybrid

Quick summary

Work type
Hybrid
Location
Minneapolis, MN · Charlotte, NC · San Francisco, CA
Salary
$105,400–$124,000 / yr
Posted
3 days ago
Closes
Jun 17, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $115k
$92k most similar roles pay here $229k

This role pays less than 87% of similar roles. Most pay $126,800–$215,575 — the shaded band above. At the midpoint, this role pays about $115k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

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 44 open roles on FindRole.

Listed pay typically runs $111,605–$131,300 across 41 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Validator Quantitative Specialist

This position is an individual contributor role within U.S. Bank’s Model Risk Management (MRM) program, supporting Compliance and Financial Crimes groups such as AML, Cybersecurity, Economic Sanctions/OFAC, and Fair Lending. As a model risk analyst, you will validate models by challenging their conceptual framework, data integrity, implementation, and ongoing performance, generating detailed reports for stakeholders and regulators. You will work with Model Owners and Developers to ensure compliance with regulatory standards and track corrective actions until resolution. The role requires strong mathematical skills, knowledge of AI tools, and the ability to communicate complex ideas clearly. Key responsibilities include conducting independent validation tests, aggregating data from various sources, interpreting statistical analyses, and creating professional-level documentation such as presentations and memos. Essential qualifications include a quantitative degree with relevant experience, expertise in compliance laws, and proficiency in machine learning methods like random forests and gradient boosting techniques.

What you'll do

  • Validate models related to Compliance and Financial Crimes groups independently.
  • Challenge model methodologies, data integrity, implementation frameworks, and governance processes.
  • Generate detailed reporting on validation outcomes for model owners and developers.
  • Track corrective actions required by model risk owners until remediation is complete.
  • Interface with stakeholders, regulators, and internal auditors to discuss validation findings.

What we're looking for

  • Bachelor’s degree in a quantitative field with five or more years of relevant experience.
  • Strong mathematical and statistical modeling or model validation experience.
  • Advanced understanding of compliance laws, regulations, and financial services trends.
  • Experience validating models across BSA/AML, Cybersecurity, Fair Lending, Economic Sanctions.
  • Excellent verbal and written communication skills to explain complex ideas simply.
  • Working knowledge of various Machine Learning methods and AI tools.
  • Ability to independently design analytical tests and generate professional-level reporting.

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