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E*TRADE from Morgan Stanley · 1 month ago

Market Risk Analytics VP, Stress Testing and AI Integration

New York, New York, United States of America

Full-time

Hybrid

Mid, Senior Level

$120K/yr - $205K/yr

5+ years exp

Morgan Stanley's Firm Risk Management Division is seeking a VP in its Market Risk Analytics group focused on market shock scenario design and stress testing. The role involves developing and implementing risk analytics models and frameworks, enhancing processes with AI tools, and ensuring compliance with regulatory requirements.

BankingFinanceFinancial Services

Responsibilities

Develop and implement models, frameworks and analytical tools for risk analytics and risk management purposes, with primary focus on market shock scenario design and stress testing

Interpret model outputs and communicate findings to stakeholders, including risk managers, capital, front office, and senior management

Conduct quantitative analysis to assess model performance and outcome

Collaborate with IT teams to ensure smooth integration of models and analytical tooling in existing systems and infrastructure

Collaborate with Model Risk Management for purposes of validation of risk models

Respond to audit and regulatory requests

Identify areas in existing processes where application of AI tools and capabilities can boost efficiency and effectiveness, and work on developing / deploying those AI solutions

Qualification

Quantitative FinanceMarket Risk ModelsStress TestingPythonAI Tool DevelopmentSQLProject ManagementCommunicationCritical ThinkingProblem SolvingCollaborationAttention to Detail

Required

PhD/Master degree in a quantitative field such as Quantitative Finance, Economics, Mathematics, Physics, Engineering or equivalent

5 years or more experience working with quantitative risk and/or financial models. Alternatively, 3 years or more experience at the Associate or above level

Previous experience with credit or market risk models such as VaR, IRC/DRC, IDL; scenario design, or related fields such as time series analysis, statistics, or asset pricing

Proficiency in Python, SQL and Microsoft products

Familiarity with AI tools and their strengths/weaknesses, and experience with prompting

Previous experience and strong skills in project management and stakeholder management and the ability to work independently

Interest in risk management, financial products, markets, and regulation

Strong skills in communication, critical thinking, problem solving and collaboration

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