Quantitative AI and Data Analyst - Executive Director
About The Position
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 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.
Requirements
- Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Engineering or related discipline.
- 7+ years of Data Analytics or related experience
- 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.
Nice To Haves
- 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.
Responsibilities
- Development and calibration of data analytic models and tools using a variety of 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.
Benefits
- At Morgan Stanley, you’ll 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.
- There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Executive
Number of Employees
5,001-10,000 employees
