Market Risk Analytics Associate- Equities

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 an Associate in its Market Risk Analytics department with focus on Equity asset class. 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 new hire will join the Market Risk Analytics Equity team to undertake research, modelling, development, and analysis of various market risk models to ensure appropriate modelling and capture of risk, regulatory capital calculation, and ongoing compliance with regulatory requirements, including the upcoming Fundamental Review of Trading Book (FRTB).

• Develop and enhance market risk VaR, RNIV, and FRTB models in Commodity and Equity asset classes;
• Analyze, understand, and explain the changes in risk metrics due to model and position changes;
• Respond to model validation, audit, regulatory requests;
• Interact with various Risk departments within the Firm including Commodity and Equity Front Office strategists, Market Risk Managers, Model Risk Management and Risk IT.

• Master's degree in Quantitative Finance, Economics, Math, Physics, Engineering or a related field of study;
• Python coding skill required; SQL experience preferred;
• Experience in developing model in a production environment is a plus;
• Prefer some experience with VaR, Risks Not in VaR, Basel framework and FRTB rules;
• Strong skills in communication, critical thinking, problem solving, and collaboration;
• Knowledge and broad interest in financial market and derivatives;
• Knowledge and broad interest in risk management, and regulation;
• Close attention to details and ability to provide information in a usable format.

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. The in office requirement is subject to change at any time.

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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.

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Expected base pay rates for…