Model Risk VP: Commodities & AI/ML Validation

Morgan Stanley; New York (NY); On-site; USD 120,000 - 210,000; Full time

Job summary

Morgan Stanley's Firm Risk Management—Model Risk Management team in New York seeks a senior validator to assess commodities pricing models and AI/ML tools across the firm. The role requires a strong risk mindset, technical depth, and leadership to drive independent validation and effective governance.

You will partner with developers, desk strategists, Market Risk, and Valuation Control to ensure model documentation, testing, and monitoring meet standards.

Qualifications

• At least 8 years of experience in derivative pricing model development and/or validation.
• Proficiency in statistical software packages, data mining, and machine learning techniques.
• Regulatory and internal audit engagement experience.
• Prior management or team lead experience (preferred).

Responsibilities

• Understand the use and effectiveness of models and tools within relevant firm businesses and processes.
• Perform independent model and tool validation of complex pricing models used by Morgan Stanley's Fixed Income businesses, particularly in Commodities Trading.
• Evaluate whether model documentation meets standards and whether testing is robust to assess performance, limitations, and risks.
• Assess conceptual soundness and fitness for purpose of models and tools and identify key assumptions and limitations.
• Conduct independent quantitative testing and verify ongoing monitoring frameworks are adequate and applied.
• Collaborate with stakeholders to develop solutions to manage model risks and changes across functions.
• Produce high‑quality model review reports for senior management and governance forums.
• Represent the Model Risk Management team in interactions with Internal Audit and regulatory agencies.

Skills

Derivatives pricing

Model validation

Machine learning

Leadership

Regulatory and audit experience

Statistical software

Education

Master’s degree or PhD in quantitative discipline or finance

Strong numerical methods and stochastic calculus background

Tools

Python

R

SQL

Job description

Morgan Stanley's Firm Risk Management—Model Risk Management team in New York seeks a senior validator to assess commodities pricing models and AI/ML tools across the firm. The role requires a strong risk mindset, technical depth, and leadership to drive independent validation and effective governance.

You will partner with developers, desk strategists, Market Risk, and Valuation Control to ensure model documentation, testing, and monitoring meet standards.