Public Finance Quantitative Developer &… at E*TRADE from… · New York

Summary: Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The role involves developing quantitative models and applications to support the Public Finance Business, focusing on risk assessment and automation of workflows. 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 Required Qualifications: - 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.) Required Skills: Python, CI/CD, Git, Docker, Statistics, Probability, Fixed Income, Generative AI coding tools Benefits: Commission earnings, Incentive compensation, Discretionary bonuses, Other short and long-term incentive packages, Other Morgan Stanley sponsored benefit programs