Our client is a global investment firm with multi-billion dollars in assets under management. They focus on delivering uncorrelated returns through diverse strategies, including Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity.
Role Overview
Our client seeks a Quantitative Researcher to support a Commodities Portfolio Manager. The role involves researching alternative data, building and maintaining applications, and performing quantamental analysis on commodities markets.
Responsibilities
- Research alternative data with a Commodities Portfolio Manager.
- Communicate with data providers and in-house analysts.
- Build and maintain full stack applications.
- Conduct quantamental analysis on commodities markets.
Requirements
- Strong quantitative skills with Python and SQL proficiency.
- 3-5 years of experience in signal research, bet sizing, and portfolio construction.
- Commodities experience not required; macro background considered.
- Machine learning expertise is a plus.
- Master's degree in a quantitative field preferred.
If you have a strong background in quantitative research and are eager to join a dynamic investment firm, we encourage you to apply.
