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# Quantitative AI and Data Analyst - Executive Director

- **Company:** Morgan Stanley
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $275,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Computer Programming, Python (Programming Language), Machine Learning, Large Language Models, Model Validation, Information Technology, Data Analytics, Virtual Agents
- **Published:** September 3, 2026
- **Apply:** https://www.themuse.com/jobs/morganstanley/quantitative-ai-and-data-analyst-executive-director

## About the Role

* 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.

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.

## Description

* 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 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.


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