Quantitative AI and Data Analyst - Executive Director
New York, New York, United States of America On-site
$195,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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.
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 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.
- 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.