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Developer (Python)

Morgan Stanley
London, GBR
Full-time
Onsite
Discovered 3 weeks ago
PythonJavaGenerative AI application developmentMachine learningGenerative AI coding assistantsAgentic AI implementation

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Role overview

Join Morgan Stanley's Trade Surveillance Analytics Squad as a solutions-focused Developer.

Develop Generative AI and machine-learning software for a strategic platform serving divisions across the firm.

The UK-based role is part of a global project team of developers, business analysts, testers, and operational change partners.

What you'll do

  • Design, develop, and implement scalable solutions primarily in Python and some Java within an Agile squad.
  • Use Generative AI tools and coding assistants to improve development velocity and solution quality.
  • Work with global teams to translate business requirements into technical solutions.
  • Participate in Agile meetings, share project status, and adapt to regulatory and business changes.
  • Learn and apply proprietary frameworks and best practices.
  • Write comprehensive tests for code reliability and maintainability; respond to change and learn new concepts.
  • Adhere to software development lifecycle standards and governance while delivering new capabilities and service improvements.

Experience and technical requirements

  • 7+ years of development experience overall, including 5+ years hands-on with Python; write optimized, efficient, clean code.
  • Experience using Generative AI coding assistants such as Copilot, including agent mode and skills.
  • Generative AI application experience spanning LLMs, agentic implementation, context data integration, MCP, A2A, RAG, vector storage, and prompt and context authoring.
  • Proficiency in relational and NoSQL databases; PostgreSQL and MongoDB are preferred examples.
  • DevOps experience with CI/CD pipeline management, containerization, and observability tools.
  • Analytical problem-solving ability and experience writing thorough unit tests; coding-assistant use for tests is preferred.
  • Strong collaboration and communication, with enterprise experience integrating, leveraging, and influencing teams, developers, and programs.

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