Quantitative Researcher - Commodities Futures

We are seeking a Quantitative Researcher to join a successful systematic trading team at a tier‑1 hedge fund in their London or Dubai office. The team trades mid‑frequency systematic commodities futures strategies, with holding periods ranging from intraday to several days. You will leverage advanced quantitative techniques to enhance commodities futures strategies and drive improvements in algorithmic trading performance. Following several very successful years, the team is continuing to scale and is seeking a quantitative researcher who can contribute innovative ideas and work closely with the Portfolio Manager to support research, design, and implementation. The ideal candidate will have 2-5 years of experience as a quantitative researcher in the systematic commodities or futures space and be a strong Python programmer with a solid grounding in quantitative analysis. Key ResponsibilitiesResearch and develop systematic trading strategies focused on the commodities futures markets.Identify and evaluate new alpha signals.Perform backtesting, validation, and performance analysis of strategies.Analyse market behaviour and relevant macroeconomic drivers.Contribute to ongoing improvements in research tools, data pipelines, and modelling frameworks. Qualifications2-5 years of experience in quantitative research within commodities and/or futures trading.Strong programming skills in Python.Solid understanding of statistics, quantitative modelling, and time‑series analysis.Experience working with large datasets and backtesting frameworks.Strong analytical mindset, attention to detail, and a systematic approach to research.Ability to work independently while collaborating effectively within a fast‑paced trading team. Preferred Qualifications:Advanced degree (Master's/PhD) in a quantitative field such as Mathematics, Statistics, Computer Science, or a related discipline.Strong programming skills in C++Knowledge of global macroeconomic factors and their impact on financial markets.