Market Risk Analytics Associate, Stress Testing and AI Integration

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 an Associate 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 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 Requires a degree in Quantitative Finance, Economics, Math/Physics/Engineering or a related field of study. (Master/PhD highly preferred.) Requires minimum two (2) years of experience as an Associate, Analyst or equivalent in quantitative fields (quantitative finance and risk management fields are preferred). Proficiency in Python and database query languages and Microsoft products. Familiarity with AI tools and their strengths/weaknesses, and experience with prompting. Experience in AI tool development/deployment is a plus. Strong skills in Communication, Critical Thinking, and Problem Solving and Collaboration. Curious about risk management, financial products, markets, and regulation. Strong attention to detail and ability to provide information in usable formats. Firm Risk Management values diversity and is committed to providing a supportive and inclusive workplace for all employees. This role is hybrid and currently requires in‑office attendance 3 days/week. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first‑class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values – putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back – aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work‑life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste into your browser. Expected base pay rates for the role will be between $100,000 and $140,000 year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long‑term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). #J-18808-Ljbffr