
Quantitative Researcher - Rates
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 Fixed Income & Commodities Technology team to develop and maintain cross-asset pricing and risk libraries and deliver rates-specific pre-trade, pricing, and risk analytics. The role involves close collaboration with quants in London, Geneva, and New York to implement valuation models, numerical methods (e.g., Monte Carlo, finite differences), and trader-facing tools, with strong C++ and quantitative skills 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 Rates specific pre-trade, pricing and risk analytics tools
Requirements:
Previous experience with developing pricing/valuation models for Linear Rates, including interest rate curve construction, Inflation modelling, derivative instrument pricing, is required
Experience working with FX products , including vanillas and exotics, is 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

