AI/ML Model Development Analyst (Open)

Morgan Stanley • New York, NY

1d • Hybrid

About The Position

The AI/ML Model Development Analyst role is within Firm Risk Management's Risk Analytics area at Morgan Stanley. Firm Risk Management supports the company in achieving business goals by partnering with business units to realize efficient risk-adjusted returns, advising the Board, and protecting the Firm from various risks. Risk Analytics is responsible for developing market risk, credit risk, and scenario analytics models, providing quantitative analysis of the Firm's risk exposures through mathematical and statistical models. This specific role is part of the Risk AI Application team, which is tasked with 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level