Quantitative AI and Data Analyst - Executive Director

Morgan Stanley is seeking a highly motivated professional with financial industry experience to join a data analytics and artificial intelligence team within the Prime Brokerage and Funding Technology Department. The team has a global footprint across New York, London and Hong Kong, and Mumbai and works closely with a variety of business lines in Institutional Equities and Fixed Income trading, Prime Brokerage, Securities Lending and Fund Services, as well as the Finance and Risk Divisions of the firm. The team is expanding its capabilities in quantitative AI, combining advanced statistical methods with cutting-edge GenAI technologies to develop reliable and production-grade analytics tools.

Primary Responsibilities

• Development, calibration and deployment to production of Agentic AI solutions using a variety of tools and techniques including Machine Learning and Large Language Models.
• Designing and implementing advanced statistical approaches to support evaluation, monitoring, and continuous improvement of GenAI/LLM-based applications.
• Test models comprehensively and build frameworks for model validation across a range of statistical and market conditions.
• Collaboration with users to refine models and tools to deliver applications that provide tangible revenue impact or operational efficiency benefits.
• Working with model risk management and other control functions in the firm to ensure compliance with regulatory and firm governance standards applicable to both quantitative and AI models, including documentation, benchmarking and explainability.
• Working closely with development teams to ensure accurate integration into the firm’s technology stack.
• Presentation of the team’s work to management and stakeholders.
• Mentoring team members.

Required Skills

• Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Engineering or related discipline.
• 9+ years of relevant experience, particularly working with AI and/or Data Analytics.
• Strong programming skills using Python and handling large datasets and building prototypes of mathematical or statistical models.
• Practical experience in statistics, data analytics or artificial intelligence and familiarity with model development lifecycle in an industry context.
• Ability to work collaboratively and to present concepts and solutions clearly to diverse audiences.

Desired Skills

• Practical experience with Bayesian statistics, hierarchical modelling, probabilistic programming (e.g., PyMC, Stan) and uncertainty quantification.
• Experience designing evaluation and monitoring frameworks for ML/GenAI/LLM models.
• Relevant experience in a quantitative, structuring or trading role in the financial industry.
• Domain knowledge of financial market methodologies such as stress testing, VaR, and calibration techniques.

Compensation

Expected base pay rates for the role will be between $195,000 and $275,000 per 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.

Equal Employment Opportunity Statement

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. For more information, please visit:

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