Morgan Stanley is seeking a highly skilled quantitative engineer to build models and production-grade applications for Public Finance. You will develop end-to-end data-driven tools, combining modeling with real-time dashboards and automated workflows.
You will work with Python, React, and AI toolchains to extract terms from documents, flag anomalies, and improve risk insight. Expect a rigorous, impact-driven environment with collaboration across traders and strategists.
#J-18808-LjbffrAI-Driven Public Finance Quant Developer in new york at Unknown Company
This position is listed as full time and onsite.