Millennium is seeking a Commodities Quantitative Researcher to join a systematic investment team to develop new signals and strategies in the commodities, fixed income, and FX space, leveraging market innovations in technology and data to deliver high-quality returns.
Requirements
- Strongly skilled in Python
- Experience programming in C is a plus
- Experience working with large and diverse data sets, specifically data sets associated with the commodity markets
- Commodities market experience modeling futures curves and/"or cross-market relationships
- Experience in quantitative, econometrics, asset pricing, or macro sub-fields
- Experience with machine learning, statistical techniques and related libraries
Responsibilities
- Identify and onboard new global markets and datasets
- Analyze and manipulate large and diverse data sets for idea generation and alpha research with a focus on the commodities space
- Research and develop signals, leveraging a variety of market and fundamental datasets, to be deployed in systematic trading strategies
- Collaborate with the Senior Portfolio Manager and team in a transparent environment, engaging with the whole investment process from idea generation through execution with a focus on the Global Commodities space
Other
- Flexible, with slight preference for Switzerland
- Excellent communication, analytical, and problem-solving skills
- 2-4 years of experience working in a quantitative research capacity with a focus on Ags, Energy, Metals, Fixed Income, FX, or Equity Index strategies
- Bachelor, Master’s, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
