Generate and research strategies for crude and products markets using statistical methods, machine learning, feature engineering and quantitative modelling.
Work closely with traders to translate market intuition into testable hypotheses, validate signal behaviour and improve decision making across short term and medium term horizons.
Analyse large volumes of market, fundamental and alternative data to identify patterns, anomalies and structural behaviours relevant to Crude & Products trading.
Build and maintain robust back testing frameworks, evaluate strategy performance, stress test signals and ensure statistical validity across regimes.
Develop scalable research tooling and systematic strategy components using Python and modern data science libraries.
Contribute signal and modelling insight to broader systematic and data driven initiatives across the trading organization.