Teams at Morgan Stanley

Lead end-to-end delivery of distributed Java applications supporting post-trade asset servicing. Responsibilities include architecture, development, testing, deployment, maintenance, stakeholder and vendor collaboration, regulatory initiatives, Agile delivery, and mentoring global engineering teams. The role requires strong Java, Spring, middleware, cloud, database, front-end, messaging, resiliency, scalability, and performance expertise, along with capital markets or investment banking experience.

Seeking a Vice President to develop Machine Learning models and Gen AI use cases in Wealth Management, supporting business lines with predictive analytics and operational model management.

Supports institutional equity clients and sales desks across vanilla and exotic derivatives, including pricing, execution, booking, reconciliation, trade lifecycle management, basket maintenance, and market analysis. Tracks thematic, factor, and regional baskets; assists with index construction; and develops Python, KDB, Excel, and VBA tools to automate reporting, analytics, and workflows. The role requires strong derivatives knowledge, quantitative training, attention to detail, and 4–5 years of index or quantitative research experience.