Senior Model Risk VP: AI/ML Valuation & Validation

Morgan-Stanley; Town of Islip (NY); On-site; USD 120,000 - 210,000; Full time

Job summary

Morgan Stanley is seeking a Senior Model Risk Validator within the Firm Risk Management team to independently validate pricing models for Rates, FX, and Commodities across the Fixed Income businesses. The role emphasizes risk management, technical leadership, and governance across global teams.

Based in New York, the candidate will lead validation efforts, communicate findings to senior stakeholders, and drive remediations while coordinating with 1LOD and 2LOD to ensure robust risk controls and

Qualifications

• Masters degree or PhD in quantitative discipline or Finance.
• Strong foundation in numerical methods, probability theory, stochastic calculus, and practical application of quantitative models in finance.
• Excellent analytical thinking, risk-minded, and ability to communicate complex concepts clearly.
• Experience in model development, validation, and governance within a financial institution.

Responsibilities

• Perform independent model and tool validation of complex pricing models used by Morgan Stanley's Fixed Income businesses, particularly Rates, FX, and Commodities.
• Assess model documentation against firm-wide standards and test robustness of performance, limitations, and risks.
• Evaluate conceptual soundness and fitness for purpose of models, identifying key assumptions and limitations.
• Conduct quantitative testing and ensure monitoring frameworks are adequate and consistently applied.
• Collaborate with 1LOD/2LOD stakeholders to remediate model risk issues and improve governance.

Job description

Morgan Stanley is seeking a Senior Model Risk Validator within the Firm Risk Management team to independently validate pricing models for Rates, FX, and Commodities across the Fixed Income businesses. The role emphasizes risk management, technical leadership, and governance across global teams.

Based in New York, the candidate will lead validation efforts, communicate findings to senior stakeholders, and drive remediations while coordinating with 1LOD and 2LOD to ensure robust risk controls and