Quantitative Developer – Fixed Income RAD

Company: Millennium Management
Apply for the Quantitative Developer – Fixed Income RAD
Location: London
Job Description:

Overview

As a Quantitative Developer in the Fixed Income RAD team, you will rapidly prototype and deliver production-grade analytics and AI-enabled tools for PMs, traders, and risk teams. You’ll build data pipelines, dashboards, and web interfaces to surface insights and streamline workflows. You’ll integrate AI/LLM capabilities and collaborate with investment, execution, and risk partners to deploy scalable solutions. This role places you at the intersection of technology and fixed income, delivering impactful, timely results in a fast-moving culture.

Responsibilities

  • Prototype and deliver production-grade applications with portfolio managers, traders, and risk teams
  • Build and maintain data pipelines from internal and market data sources for analytics and dashboards
  • Design and develop data visualizations and web UIs (React/TypeScript) to surface trends and streamline workflows
  • Develop and integrate AI/LLM-powered capabilities (RAG, MCP servers/tools, AI coding agent automation) into applications
  • Collaborate with Fixed Income Management, Execution, and Risk teams to gather requirements and manage delivery of analytics and AI-driven tools
  • Maintain and continuously improve deployed capabilities as requirements evolve
  • Deliver timely solutions aligned with FI-RAD’s fast-moving culture

Key requirements

  • 5+ years of development in a production environment
  • Python with data science stack libraries
  • Experience with financial markets (rates, FX, credit, commodities) using math/statistics
  • Experience with AI/LLM tools for development (Agent Tools, MCPs)
  • Full stack experience with React+TypeScript/Deno and cloud tech (Kubernetes EKS/ArgoCD)
  • Strong communication and independent work style
  • High attention to detail and strong ownership
  • strong communication
  • independence in a fast-paced setting
  • attention to detail
  • Python with data science stack
  • AI/LLM tools (Agent Tools, MCPs)
  • React+TypeScript/Deno

…

Posted: October 10th, 2026