Impact-driven Quantitative Model Validator

U.S. Bank

Charlotte (NC)

Hybrid

USD 98,000 - 116,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Retirement plan
Paid vacation
Disability leave
Holiday opportunities

Job summary

U.S. Bank is seeking an experienced Model Validator to independently validate market risk and capital markets models used for trading, valuation, and regulatory capital calculations.

The role requires conducting conceptual soundness reviews, quantitative testing, and evaluating model performance with a focus on risk controls and governance. The candidate will interact with model developers, risk managers, and governance teams, supporting responses to regulatory exams and supervisory findings

Qualifications

  • Bachelor’s degree in a quantitative field and five or more years of relevant experience.
  • MA/MS in a quantitative field and three or more years of related experience.
  • PhD in a quantitative field and less than two years of related experience.

Responsibilities

  • Perform independent validation of market risk and capital markets models used in trading, valuation, risk measurement and regulatory capital calculations.
  • Conduct conceptual soundness reviews referencing financial theory and market practice.
  • Perform quantitative testing (benchmarking, sensitivity analysis, back testing, stress testing, outcomes analysis).
  • Review model implementation and controls; evaluate ongoing model performance and monitoring processes.

Skills

Market risk
Statistical modeling
Time series
Derivatives pricing
Communication
Leadership

Education

Bachelor's degree in quantitative field
Master's degree in quantitative field
PhD in quantitative field

Tools

Python

Job description

U.S. Bank is seeking an experienced Model Validator to independently validate market risk and capital markets models used for trading, valuation, and regulatory capital calculations.

The role requires conducting conceptual soundness reviews, quantitative testing, and evaluating model performance with a focus on risk controls and governance. The candidate will interact with model developers, risk managers, and governance teams, supporting responses to regulatory exams and supervisory findings

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