AI/ML Model Development Analyst (Open)
About The Position
Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks. Background on the Position The role will reside within the Firm Risk Management's Risk Analytics area. Risk Analytics develops market risk, credit risk, and scenario analytics models, providing quantitative analysis of the Firm's risk exposures. By developing mathematical and statistical models, Risk Analytics calculates the risks associated with specified sets of financial positions and day-to-day operations. Morgan Stanley is seeking an AI/ML Model Developer (Analyst) in the Risk AI Application team, which is responsible for implementing Firm Risk Management's AI strategy.
Requirements
- Graduate degree in Computer Science, Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline
- Strong Python programming skills, including familiarity with Git-based versioning and collaborative coding workflows
- Demonstrated interest in AI/ML concepts
- Excellent interpersonal and communication skills in both written and verbal English, with the ability to effectively communicate with technical and non-technical stakeholders
- Strategic mindset with strong business acumen and creative problem-solving skills.
Nice To Haves
- Experience developing and deploying AI/ML or analytical solutions in production environments
- Exposure to modern development best practices, including unit testing and continuous integration/continuous deployment (CI/CD)
- Familiarity with financial concepts, models, and products
Responsibilities
- Design and develop Python-based AI applications, utilizing Natural Language Processing (NLP) pipelines, Large Language Models (LLMs), and other machine learning techniques, to support risk management workflows
- Apply software-engineering techniques to build efficient, reliable, and maintainable solutions
- Contribute to model and system-design decisions, ensuring the solutions are technically sound and appropriate for risk management use cases
- Write clean, well-structured, and well-tested Python code
- Follow standard development practices such as GitHub-based version control, code reviews, unit testing, and continuous integration
- Deploy solutions to production environments, not just development or prototype settings
- Collaborate with Firm Risk Management stakeholders to understand requirements and deliver AI solutions that meet their needs
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
