About the job
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Responsibilities
Build a model that helps the desk understand where risk is quietly accumulating
Ship a React dashboard that puts that model's output in front of the right people in real time
Automate a workflow that used to take someone two hours and now takes two seconds
Integrate an AI agent that reads deal documents, extracts key terms, and flags anomalies before anyone else notices
Question an assumption the business has been making for years — with data — and be right
Qualifications
Minimum
Master's or PhD in a quantitative field, or a strong undergraduate background with demonstrated hands-on experience.
Strong Python — you write clean, testable, production-ready code
CI/CD fluency: Git, Docker, structured development workflow
Solid statistics and probability fundamentals
Some exposure to fixed income (or you learn fast and ask good questions)
Experience using GenAI coding tools (Copilot, Cursor, etc.)
Preferred
No preferred qualifications listed.