Quantitative AI and Data Analyst - Executive Director

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, Hong Kong, Mumbai, and works closely with a variety of business lines in Institutional Equities and Fixed Income trading, Prime Brokerage, Securities Lending, Fund Services, as well as the Finance and Risk Divisions.

Primary Responsibilities

• Development and calibration of data analytic models and tools using Machine Learning and Large Language Models.
• Design and implement advanced statistical approaches to support evaluation, monitoring, and continuous improvement of GenAI/LLM‑based applications.
• Test models comprehensively and build validation frameworks across a range of statistical and market conditions.
• Collaborate with users to refine models and tools to deliver applications that provide tangible revenue impact or operational efficiency benefits.
• Work with model risk management and other control functions to ensure compliance with regulatory and firm governance standards applicable to quantitative and AI models, including documentation, benchmarking and explainability.
• Partner with development teams to ensure accurate integration into the firm’s technology stack.
• Present the team’s work to management and stakeholders.
• Mentor team members.

Required Skills

• Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Engineering or related discipline.
• 12+ years of Data Analytics or related experience.
• Strong programming skills using Python and experience 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 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. Base pay will be determined on an individualized basis and may include commission earnings, incentive compensation, discretionary bonuses, and other short- and long-term incentive packages.

Equal Opportunity Employer 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, hiring and advancing individuals based on skills and talents.

Learn more at

#J-18808-Ljbffr