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Salary
≈ $111k – $217k per year (Estimated)
Location
In office (London)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Aug 27, 2026. Millennium Management scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Millennium Management is a global, diversified alternative investment firm and one of the largest multi-strategy hedge fund managers. It allocates capital to hundreds of independent portfolio management teams trading fundamental equity, fixed income, commodities and quantitative strategies under centralized risk management. The firm was founded in 1989 by Israel Englander and is headquartered in New York.
Quantitative Developer - Fixed Income RAD

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

The Information Technology department is core to the health and growth of Millennium’s business. The firm’s active, multi-manager model demands flexible, scalable technology and advanced proprietary systems, including the development of the next generation of analytical and trading capabilities. The Fixed Income Rapid Application Development (RAD) team is a specialized group of engineers, quants, and data scientists that delivers tactical, production-grade application and AI solutions for Fixed Income portfolio managers, traders, risk, and operations teams. Working closely with investment, execution, risk, and compliance partners, the team rapidly prototypes and industrializes custom applications, including solutions that increasingly incorporate AI and LLM-driven capabilities.

What You'll Do

  • Work directly with portfolio managers, traders, execution desks, and risk teams to rapidly prototype and deliver tactical, production-grade applications.
  • Build and maintain data pipelines that combine internal and market data sources into custom analytics and delivery formats (dashboards, APIs, Excel/notebook tools).
  • Design and build data visualizations and web UIs (React/TypeScript) that surface data trends and streamline PM/trading/risk workflows.
  • Develop and integrate AI/LLM-powered capabilities into team applications, e.g., Retrieval-Augmented Generation (RAG), chat-data ingestion pipelines, MCP (Model Context Protocol) servers/tools, building and using AI coding agent automation (Claude Code/Codex/Cursor)
  • Partner with Fixed Income Management, Execution, and Risk teams to capture requirements, monitor delivery, and manage expectations for both traditional analytics tools and newer AI-driven applications.
  • Maintain, support, and continuously improve deployed capabilities as new requirements arise
  • Fit into FI-RAD's fast-moving culture, judged on the ability to deliver timely, production-quality solutions directly to PMs and risk/trading desks.

What You Bring

  • Bachelor’s degree in Computer Science or a related field
  • 5+ years of development experience in a production environment, ideally with Python using data science stack libraries
  • Experience in financial markets, including areas such as rates, FX, credit, or commodities using mathematics, modeling, and/or statistics
  • Experience with AI/LLM tools for development and/or AI solutions such as Agent Tools, Skills, MCPs
  • Full stack experience with React+Typescript/Deno and cloud technologies (Kubernetes EKS/ArgoCD)
  • Strong communication skills and the ability to work independently in a fast-paced setting
  • High attention to detail, strong organization, and a clear sense of ownership and accountability for your work
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