Teams at Morgan Stanley

Develop scalable Python and Java solutions for generative AI and machine learning within Morgan Stanley’s trade surveillance analytics platform. Build agentic applications using LLMs, RAG, vector storage, MCP, and A2A patterns; integrate databases, UI frameworks, and DevOps practices. Collaborate with global Agile teams, translate business requirements, write comprehensive tests, optimize code and queries, and follow enterprise SDLC governance.

Develop and support high-volume, low-latency electronic trading systems and delta-one algorithmic trading strategies. Responsibilities include Java development, trading engine infrastructure, analytical tools, signal generation, system performance optimization, and full software development lifecycle ownership. The role partners closely with trading, quantitative, and IT teams in a front-office environment and requires expertise in automated market making, electronic trading, Linux, and messaging technologies.

Leads global real estate capital project management across a 20-million-square-foot portfolio. Develops strategy, oversees project delivery, manages budgets and risks, leads internal teams and external vendors, engages senior stakeholders, ensures regulatory and safety compliance, and drives innovation in project management practices. The role requires extensive experience managing large-scale capital projects, strong leadership and financial skills, and knowledge of real estate and construction standards.