Apply on Employer Site

E*TRADE from Morgan Stanley · 10 hours ago

Global Asset Class Lead Commodities

New York, New York, United States of America

Full-time

Hybrid

Senior Level, Lead/Staff

$120K/yr - $205K/yr

8+ years exp

Morgan Stanley is a leading financial services firm and is seeking a Vice President to serve as the Global Asset Class Lead for Commodities within its Market Risk Analytics department. The role involves leading research, modeling, development, and analysis of market risk models in the commodities area to ensure compliance with regulatory requirements and effective risk management.

BankingFinanceFinancial Services

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

Qualification

Quantitative FinanceRisk ModelingCommodities MarketsPython/R ProgrammingSQLMathematicsStatisticsCommunication SkillsCritical ThinkingProblem-SolvingTeam CollaborationAttention to Detail

Required

Master's degree in Quantitative Finance, Economics, Math/Physics/Engineering or a related field of study

Eight (8) years of relevant experience in a closely related occupation

Proven quantitative expertise in pricing and risk modeling

Experience in leading the development of commodities risk models

Prior experience in commodities markets and risk management

In-depth knowledge of the Basel regulatory framework and the Fundamental Review of the Trading Book (FRTB)

Demonstrated proficiency in Python/R programming languages

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

Genuine curiosity about risk management, financial products, markets, and regulatory frameworks

Strong attention to detail and ability to provide information in usable formats