Commodity Analyst

Fundamental Commodity Researcher📍 Location: London, UK | Hybrid (3–4 days in office)👥 Team: Systematic Commodities PodAbout the RoleWe are seeking a Fundamental Commodity Researcher to generate alpha and strengthen our understanding of global energy, metals, and agricultural markets.You will design and maintain Python/SQL-based supply and demand models, develop systematic fair-value trading signals, and collaborate with quantitative researchers to integrate these insights into a live portfolio construction process.We are looking for individuals who:Are energized by greenfield opportunities and building new frameworks from scratchMaintain a steep learning trajectory and enjoy working across diverse marketsCombine attention to detail with an ability to deliver scalable, high-impact resultsKey ResponsibilitiesBuild and maintain supply-demand balances across liquid energy, metals, and agricultural commoditiesDevelop fair-value pricing models based on balances and related inputsDesign and backtest systematic trading strategies informed by fair-value and balance dataEnhance base balances using improved forecasting techniques and novel datasetsSupport portfolio-level hedging and positioning with a fundamental perspectiveResources & SupportYou will be supported by a strong research and data infrastructure, including:Budget for third-party datasets, vendors, and external balance data to accelerate buildoutA centralized data lakehouse and established data infrastructureQuant researchers to assist with signal design and modellingA quant developer to support large-scale technical buildsShared support for data onboarding, cleaning, and maintenanceQualifications Required:3+ years of experience in fundamental commodity research or supply-demand modelling at a hedge fund, bank, prop shop, or major physical merchantDeep knowledge of at least one major commodity sector (e.g., crude & products, base metals, grains)Strong programming skills in Python and SQLProficiency in regression and time-series modelling techniquesProven ability to convert domain expertise into P&L-generating trade ideasPreferred / Bonus:Experience collaborating with quantitative teams (e.g., feature engineering, model validation)Prior discretion over risk or advisory role to a trading book