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Salary
≈ $95k – $224k per year (Estimated)
Location
In office (London)

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Oct 28, 2024. 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

Mid-Senior Level Quant Developer

Preferred Location: London

Leading index Rebal team seeking a highly motivated and detail-oriented Quant Developer to join our team. The ideal candidate will have a strong passion for building robust trading systems and be familiar with the trading process. This role requires someone who is extremely hard-working and dedicated to achieving excellence in every aspect of their work. You will be working on our core trading engine and building out trade automations that drive the business.

Key Responsibilities

  • Core Trading Engine Development: Develop, maintain, and improve our core trading engine.

  • Systematic Trade Automations: Design and implement trade automation systems to enhance trading efficiency and effectiveness.

  • Collaboration: Work closely with traders, researchers, and other developers to understand requirements and deliver solutions.

  • Code Review: Participate in code reviews to ensure the highest quality of code and adherence to best practices.

  • Support: Provide ongoing support and troubleshooting for existing trading systems and models.

Required Skills and Qualifications

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.

  • Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc.

  • Quantitative Skills: Solid understanding of quantitative finance and statistical methods.

  • Trading Knowledge: Familiarity with the trading process and financial markets.

  • System Design: Experience in designing and implementing high-performance, scalable systems.

  • Problem-Solving: Excellent analytical and problem-solving skills.

  • Attention to Detail: Meticulous attention to detail and a commitment to accuracy.

  • Work Ethic: Demonstrated ability to work hard and manage multiple tasks simultaneously.

  • Team Player: Ability to work effectively in a collaborative team environment.

  • Communication Skills: Strong verbal and written communication skills.

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