Our client, a newly launched trading team in London, hope to hire a Quantitative Researcher specialising in Commodities strats, with a particular focus on energy.

In this role, you will work alongside the Portfolio Manager to research & develop alpha strategies.

Responsibilities:

Leverage large, diverse datasets—including physical commodity data, supply/demand indicators, shipping flows, weather patterns, and macroeconomic variables—to uncover statistical patterns. Collaborate closely with other researchers to refine methodologies, exchange insights, and improve research workflows. Design and implement signals within a robust global execution framework, ensuring they are production-ready and scalable. Continuously monitor model performance and adapt strategies as market dynamics evolve. Own the full research lifecycle—from hypothesis generation and signal development to backtesting, implementation, and live deployment.

Requirements:

Advanced degree in a quantitative discipline such as data science, statistics, mathematics, physics, or engineering. Strong background in statistical analysis, machine learning, or AI techniques—especially as applied to time series or macro/commodity data. Experience ...