Global Asset Class Lead Commodities

Morgan Stanley • New York, NY

15d • Hybrid

About The Position

Firm Risk Management Morgan Stanley's Firm Risk Management (FRM) Division is an exciting and rapidly growing space. We support Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks. Background on the Position The role will reside within the Firm Risk Management's Risk Analytics area. Risk Analytics develops market risk analytics, credit risk analytics and scenario analytics models providing quantitative analysis on the Firm's risk exposures. By developing mathematical and statistical models, Risk Analytics calculates the risks associated with specified sets of financial positions and day-to-day operations. Morgan Stanley is seeking a Vice President to serve as the Global Asset Class Lead for Commodities within its Market Risk Analytics department. The Market Risk Analytics group develops, maintains, and monitors the performance of market risk (VaR, Stressed VaR, and IRC) and stress testing models for Morgan Stanley's portfolio of assets, as required by the regulatory framework and the Firm's risk management needs. The successful candidate will join the Market Risk Analytics team to lead research, modelling, development, and analysis of various market risk models in commodities area to ensure appropriate modelling and capture of risk, regulatory capital calculation, and ongoing compliance with regulatory requirements, including for the upcoming Fundamental Review of Trading Book (FRTB).

Requirements

• Prefer a Master's degree in Quantitative Finance, Economics, Math/Physics/Engineering or a related field of study and eight (8) years of relevant experience in a closely related occupation.
• Proven quantitative expertise in pricing and risk modeling, with a strong preference for candidates who have led the development of commodities risk models. Prior experience in commodities markets and risk management is highly desirable.
• In-depth knowledge of the Basel regulatory framework and the Fundamental Review of the Trading Book (FRTB).
• Demonstrated proficiency in Python/R programming languages, as well as strong command of SQL for data extraction and analysis.
• Extensive background in mathematics and statistics, including expertise in stochastic analysis, regression analysis, and related quantitative methodologies.
• Exceptional communication, critical thinking, problem-solving, and collaborative skills, enabling effective teamwork and clear presentation of complex concepts.
• Genuine curiosity about risk management, financial products, markets, and regulatory frameworks, driving ongoing learning and professional development.
• Strong attention to detail and ability to provide information in usable formats

Responsibilities

• Develop, improve, and maintain market risk VaR and RNIV models for commodities.
• Conduct research, model development, and comprehensive analysis to ensure risk models are accurately constructed, effectively capture relevant risks, support precise regulatory capital calculations, and consistently meet all ongoing regulatory requirements, including those mandated by the Fundamental Review of the Trading Book (FRTB).
• Analyze and understand changes in risk metrics due to model and position changes to ensure the changes are as expected.
• Respond to model validation, audit, regulatory requests.
• Interact with various Risk departments within the Firm including Market Risk Capital, Market Risk Department, Model Risk Management and Risk IT.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees