Quantitative AI and Data Analyst - Executive Director
AI summary of the role
This Executive Director role leads quantitative AI development within Morgan Stanley's Prime Brokerage and Funding Technology team, combining advanced statistical methods with GenAI to build production-grade analytics tools.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Develop, calibrate, and deploy Agentic AI solutions using Machine Learning and Large Language Models
- Design and implement advanced statistical approaches for evaluation and monitoring of GenAI/LLM applications
- Test models comprehensively and build validation frameworks across statistical and market conditions
- Collaborate with users to refine models delivering revenue impact or operational efficiency
What you’ll bring
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Engineering or related discipline
- 9+ years of relevant experience, particularly with AI and/or Data Analytics
- Strong programming skills in Python, handling large datasets, and building mathematical/statistical model prototypes
- Practical experience in statistics, data analytics, or AI with familiarity in model development lifecycle
Technologies
Python · Machine Learning · Large Language Models · GenAI · Bayesian statistics · PyMC · Stan · probabilistic programming · model validation · stress testing
About Morgan Stanley
Global financial-services firm advising, trading, managing and allocating capital for corporations, governments, institutions, wealthy clients and retail investors across banking, markets and asset management.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. 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 Langu [... source excerpt omitted ...] methodologies such as stress testing, VaR, and calibration techniques. 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 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 alongs
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