
Quantitative Researcher - FX
at Millennium
Posted 4 hours ago
No clicks
- Compensation
- Not specified
- City
- London, Geneva, New York City
- Country
- United Kingdom, Switzerland, United States
Currency: Not specified
Join Millennium's Quant Technology team within Fixed Income & Commodities Technology to develop and maintain in-house pricing and risk libraries supporting FX, fixed income and commodities trading. The role focuses on delivering FX-specific pre-trade, pricing and risk analytics, working closely with global quant teams and traders; strong FX derivatives modelling, numerical methods and C++ experience are required.
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

