Full Description

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, 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, credit risk and scenario analytics models. These mathematical and statistical models provide an overall calculation of market risk across asset classes (e.g. equities, interest rates), the credit risk of borrowers and their expected losses, the calculation of risk in a time of increased economic stress (i.e. stress testing), and the generation of scenarios associated with increased economic stress. Morgan Stanley is seeking a VP in its Market Risk Analytics group with a focus on market shock scenario design and stress testing. The Market Risk Analytics group develops, maintains, and monitors the performance of market risk and stress testing models for Morgan Stanley's portfolio of trading assets, as required by the regulatory framework and the Firm's risk management needs. The new hire will join the Market Risk Analytics team to undertake research, modelling, development, and analysis of models-based measures and enhance existing processes with the application and development of AI tools. The position will play a key role in enhancing the current risk management framework and ensuring compliance with regulatory requirements.

Primary 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 Experience 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 Experience in AI tool development/deployment is preferred 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. Experience with market risk regulatory rules, CCAR NPR rules is a plus.