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Salary
≈ $50k – $142k per year (Estimated)
Location
In office (London)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Dec 4, 2025.

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 Researcher - FX

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation in-house analytics and trader support tools. This team will sit under the Fixed Income & Commodities Technology (FICT) group and will develop and maintain the in-house pricing libraries to support trading in Fixed Income, Commodities, Credit, and FX business at Millennium. FICT provides a dynamic and fast-paced environment with excellent growth opportunities.

Responsibilities:

  • Work closely with Quants in London, Geneva & New York to maintain and develop our cross-asset pricing and risk library

  • Work with the business and other Quants to deliver cutting edge Foreign Exchange specific pre-trade, pricing and risk analytics tools

Requirements:

  • 2+ years experience in FX market modelling conventions and derivatives. Exotics preferable.

  • Experience working with exotic models for single or multi asset: Local Stochastic Volatility, Local Correlation preferable but not essential

  • Strong knowledge in at least one of the main numerical methods Monte Carlo, Finite Differences, Finite Elements.

  • Modern C++ professional programming experience is preferred

  • Experience supporting traders or portfolio managers on regular questions like pnl/risk explain and/or pre-trade analysis tools

  • Strong analytical and mathematical skills

  • Strong problem solving capabilities

  • Excellence driven, detail oriented and organized

  • Demonstrating thoroughness and strong ownership of work

  • Solid communication skills

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