Requirements: English
Company: Qenexus
Region: Paris , le-de-France
We are working with a leading systematic hedge fund seeking to hire an experienced Energy Trader to join its global commodities business.
The successful candidate will focus on generating systematic alpha across the energy complex including oil, gas, power, and carbon.
This role is suitable for researchers with a strong background in time-series forecasting, statistical arbitrage, or quantitative signal generation in energy markets. You will be tasked with identifying inefficiencies and developing medium-frequency to low-latency strategies that are robust, scalable, and grounded in economic intuition.
Responsibilities:
- Conduct alpha research across the energy spectrum (oil, gas, power, carbon) using a variety of quantitative techniques.
- Design, test, and deploy systematic trading strategies based on market microstructure, fundamental data, and price behaviour.
- Collaborate closely with portfolio managers, technologists, and data engineers to implement research ideas in a live trading environment.
- Work with large and complex datasets, leveraging both proprietary and alternative data sources to uncover new trading signals.
Requirements:
- Demonstrated track record of alpha research or systematic strategy development within the energy markets.
- Strong statistical and programming skills (Python preferred; C++ a plus).
- Deep understanding of market structure and data across energy products.
- PhD or MSc in a quantitative discipline (e.g., statistics, physics, engineering, computer science, applied math).
- Prior experience at a hedge fund, prop trading firm, or energy-focused trading desk is preferred.
For more information, apply or reach out to our Director, Tom, for a discreet discussion on or whatsapp +353 87 695 8046