Quantitative Model Validation Analyst

US Bank

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NCMinneapolis, MNNew York, NY
Salary
$98,175–$115,500 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Oct 27, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $107k
$85k $217k
below market most similar roles pay here above market

This role pays less than 84% of similar roles. Most pay $121,650–$204,050 — the blue band above. At the midpoint, this role pays about $107k versus about $163k 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 61 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 41 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Quantitative Model Validation Analyst

The Quantitative Model Validation Analyst performs independent validation of market risk and capital markets models used in trading, valuation, risk measurement, and regulatory capital calculations. Working within the risk and governance framework, the analyst conducts conceptual soundness reviews, quantitative testing, and model implementation reviews for tools like VaR, xVA, and stress testing models. Key responsibilities include benchmarking, sensitivity analysis, back testing, and producing well-structured documentation aligned with regulatory expectations. The role requires proficiency in Python or similar statistical programming tools to execute regression, time series analysis, and simulation methods. Candidates must possess strong foundational knowledge of derivatives, pricing, and risk measurement. This position addresses the technical challenge of identifying model limitations and ensuring the accuracy of risk analytics across various financial products and trading strategies.

What you'll do

  • Perform independent validation of market risk and capital markets models used in trading and valuation.
  • Conduct conceptual soundness reviews referencing financial theory and market practice.
  • Execute quantitative testing including benchmarking, sensitivity analysis, back testing, and stress testing.
  • Review model implementation, controls, and ongoing performance monitoring processes.
  • Identify and track model limitations, compensating controls, and overlays.
  • Produce validation reports, presentations, and code documentation aligned with regulatory expectations.
  • Support responses to regulatory exams, internal audits, and supervisory findings.

What we're looking for

  • Must have a Bachelor’s degree in a quantitative field and five or more years of relevant experience.
  • Must have an MA/MS in a quantitative field and three or more years of related experience.
  • Must have a PhD in a quantitative field and less than two years of related experience.
  • Strong foundational knowledge of market risk and capital markets concepts, including derivatives, pricing, and risk measurement (preferred).
  • Experience with statistical and quantitative modeling techniques such as regression, time series analysis, and simulation (preferred).
  • Proficiency in Python or similar statistical/programming tools used for validation and testing (preferred).
  • Familiarity with model validation methodologies and regulatory expectations (SR 26-2, OCC 2026-13) (preferred).
  • Preference given to applicants with derivative pricing methods and quantitative risk management experience (preferred).

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