Design and build AI‑enabled prototypes and internal tools that improve business workflows, decision support, and operational efficiency
Job Summary
Design and build AI‑enabled prototypes and internal tools that improve business workflows, decision support, and operational efficiency.
This role sits at the intersection of business, data, and technology — translating ideas into working proof‑of‑concepts that can later be industrialized by Morgan Stanley Technology teams.
Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Matching Summary
Design and build AI‑enabled prototypes and internal tools that improve business workflows, decision support, and operational efficiency.
Skills & Requirements
Must-have
Python programming
LLM integration
RAG solutions development
API integration
prototype development
Nice-to-have
Scala or MATLAB experience
financial services industry experience
ambiguous, fast-moving environments
Key Requirements
Undergraduate or Master’s degree in a quantitative field
At least 6 years of relevant experience
Hands-on experience programming in Python
Practical experience integrating APIs and data sources