Quantitative Associate, Risk Analytics

Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking securities investment management and wealth management services. The Firms employees serve clients worldwide including corporations governments and individuals from more than 1200 offices in 43 countries.

As a market leader the talent and passion of our people is critical to our success. Together we share a common set of values rooted in integrity excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn to achieve and grow. A philosophy that balances personal lifestyles perspectives and needs is an important part of our culture.

Firm Risk Management
Morgan Stanleys Firm Risk Management (FRM) Division is an exciting and rapidly growing space. The division supports 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 Risk Analytics department in the Firm Risk Management division. Risk Analytics develops market risk credit risk and scenario analytics models providing quantitative analysis of the Firms risk exposures through mathematical and statistical techniques.
Morgan Stanley is seeking an Associate/Analyst in its Market Risk Analytics group. The team develops maintains and monitors the performance of market risk models (e.g. VaR Stressed VaR IRC) and stress testing frameworks across asset classes in line with regulatory requirements and internal risk management needs.
The successful candidate will join a high-impact team working across model development implementation and analysis with a focus on one or more of the following areas:
> Market shock scenario design stress testing and driving AI adoption including scenario generation and stressed risk measurement
> Commodity products market risk modeling including quantitative analysis capital calculation and regulatory frameworks such as FRTB
The role offers exposure to the full model lifecycle including development calibration implementation validation performance monitoring and regulatory engagement. The position also involves opportunities to enhance existing processes through automation and AI-driven solutions contributing to the evolution of the Firms risk management capabilities.

Primary Responsibilities
> Performing quantitative analysis on various aspects of Market Risk models like VaR Stressed VaR Risk Not in VaR for Commodity products (e.g. Power Gas Oil etc.)
> Developing and enhancing models for changing internal risk management needs new regulatory requirements (e.g. FRTB) or improvements in capturing the risk
> Supporting the design and implementation of market shock scenarios and stress testing methodologies including scenario generation and stressed risk measurement
> Identifying opportunities to enhance existing processes through automation and AI tools and contributing to their development and deployment
> Actively participating in code development for the purpose of model implementation model performance monitoring and for performing different analyses
> Analyze understand and explain changes in risk metrics driven by model updates and position changes
> Analyzing model performance metrics
> Interacting with stakeholders from various departments like Front Office strategists Market Risk Managers Model Risk Management and FRM IT
> Participating in documentation of model methodologies and implementation
> Responding to queries from Model Risk Management Internal Audit and regulators Requirements
> Requires a degree in Quantitative Finance Math Statistics Computer Science Physics Engineering Economics or a related field of study (Masters/PhD highly preferred)
> Strong Quantitative skills
> Strong Python coding skills (essential) knowledge of database querying functionalities/languages
> Familiarity with statistical modelling Monte Carlo Historical Simulation
> Knowledge of financial products with Commodity products will be preferred
> Familiarity with stress testing frameworks and scenario design methodologies is preferred
> Familiarity with AI tools and understanding of their strengths limitations and practical applications is preferred
> Experience in developing or deploying analytical or AI tools is preferred
> Knowledge and broad interest in financial products markets and risk management and regulations
> Strong skills in communication critical thinking problem solving and collaboration

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.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve 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 - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres 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 the role will be between $100000 and $140000 year at the commencement of 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 is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion where individuals are hired developed and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate bringing a variety of backgrounds talents perspectives and experiences.

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