Developer (Python)
Morgan Stanley16 hours ago
London, United KingdomSenior
Responsibilities
- Design, develop, and implement scalable solutions primarily with Python and some Java.
- Build Generative AI and machine learning software, including agentic applications, LLM integrations, MCP tools and infrastructure, A2A designs, RAG solutions, vector storage, and prompt and context authoring.
- Translate business requirements into robust technical solutions with global teams.
- Develop new capabilities and improve services for Morgan Stanley’s strategic Trade Surveillance platform.
- Use Generative AI coding assistants to improve development velocity and solution quality.
- Write comprehensive unit tests and ensure code reliability and maintainability.
- Follow Morgan Stanley SDLC standards, governance, proprietary frameworks, and best practices.
- Participate in Agile meetings, provide project status updates, and adapt solutions to regulatory and business changes.
- Collaborate with Developers, Business Analysts, Testers, and operational change partners across global locations.
Requirements
- 7+ years of overall development experience, including 5+ years of hands-on Python development experience.
- Proven ability to write optimized, efficient, and clean code.
- Experience using coding assistants such as Copilot, including Agent mode and Skills.
- Experience developing Generative AI applications with LLMs, agentic implementations, MCP tools and infrastructure, A2A design and development, RAG data solutions, vector storage, and prompt and context authoring.
- Proficiency with relational and NoSQL databases, preferably PostgreSQL and MongoDB.
- Experience with DevOps practices, CI/CD pipeline management, containerization, and observability tools.
- Experience with vendor or open-source agent frameworks and SDKs such as Azure Foundry and Copilot Studio.
- Experience with UI development using Angular or React.
- Solid knowledge of Linux or Unix and shell scripting.
- Advanced coding and database skills, including query and code optimization.
- Exposure to web, batch, and streaming application designs and patterns.
- Ability to write thorough unit tests covering major logic components.
- Experience working in global Agile Scrum teams.
- Strong analytical, communication, collaboration, leadership, and problem-solving skills.
Benefits
- Flexible working arrangements are available; candidates should discuss options with the recruitment team.
- Morgan Stanley offers comprehensive employee benefits and perks and opportunities for career mobility.
Tech Stack
Categories
About Morgan Stanley
Morgan Stanley is a global financial services firm that provides investment banking, sales and trading, wealth management, and investment management to corporations, governments, institutions, and individuals. It earns fees, commissions, and interest and trading income across advisory, underwriting, brokerage, and asset management businesses. Founded in 1935 and headquartered in New York, the public company operates in more than 40 countries through thousands of offices, including a large U.S. wealth management franchise.