Quantitative AI and Data Analyst – Executive Director
A senior role building and validating agentic AI and LLM-based tools for a data analytics team inside Prime Brokerage and Funding Technology. The team serves trading, financing, finance and risk users across several global offices.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Build and deploy agentic AI tools that use machine learning and large language models
- Design statistical tests and monitoring dashboards that track how well LLM applications perform over time
- Create validation frameworks that stress models across different market conditions
- Document and benchmark models for model risk teams so they pass governance review
- Present results to management and mentor junior analysts
What they ask for
Required
- Python
- Statistics
- Machine learning
- Large dataset handling
- Model development lifecycle
- Prototyping statistical models
- Clear presentation skills
Preferred
- Bayesian statistics and hierarchical models
- PyMC or Stan
- Evaluation frameworks for LLMs
- Stress testing and VaR knowledge
- Prior quant, structuring or trading experience
- Education
- Master's or PhD in maths, statistics, physics, computer science, engineering or a related subject.
- Experience
- 9+ years in AI or data analytics
- Languages and tools
- Markets
- equities, fixed-income
How to prepare
- Build an evaluation harness that scores an LLM tool for accuracy and drift
- Practise Bayesian modelling in PyMC with a hierarchical example on market data
- Learn how model risk teams document, benchmark and explain models
- Read up on VaR and stress testing so you can speak to the finance side
What to study
- Financial Machine Learning
- Text as Data and NLP for Finance
- Probability, Statistics and Financial Data
- Quantitative Risk Management
The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.
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Read the full posting on Morgan Stanley’s site before applying: requirements, location and pay can change after we check them.
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SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Morgan Stanley and doesn’t handle applications.