A team at a leading $5Bn hedge fund in London and Paris is looking for a Quantitative Trader to support their trading.
The right candidate will be developing systematic strategies for commodities. They should have experience running capital, with end-to-end oversight of the entire trading process. The team is open to candidates with strategies focused on power, energy, softs, and cross-commodity.
The hedge fund provides high quality data and infrastructure for trading, ensuring strategies can be developed and begin running quickly.
Responsibilities
- Leading the build-out of a systematic commodity book, running live strategies.
- Leveraging models to identify and optimise trading strategies in market data.
- Supporting the trade of large market flows over longer time horizons.
- Contributing to the research and trading pipeline, including Risk and Factor Modelling.
Requirements
- Advanced degree in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering.
- Demonstrated experience in systematic commodities, with a preference for candidates with exposure to power, energy, softs, or cross-commodity strategies.
- Strong Sharpe ratio on live strategies.
- Strong fundamental understanding of the commodity market.
- Capacity to excel in a fast-paced environment.
- Strong coding skills in at least one of the following programming languages: Python, R, Matlab and/or C++, C#.
If interested, please apply via the link.
