Quantitative Researcher - Discretionary Oil
Core
Design and refine fundamental supply-and-demand models for global crude oil markets to generate actionable market outlooks and probabilistic trade recommendations for the trading desk.
Role type
Quantitative Researcher (Discretionary Oil)
Builds
Proprietary quantitative analytics and data visualization tools for evaluating trade hypotheses and backtesting market signals.
Domain
Energy (Crude Oil) + Quantitative Finance
Deliverable
production ML models | product features
Required skills
Python, SQL, Econometric techniques, Statistical forecasting, Supply and Demand Modeling, Data validation, Automated data pipelines, Statistical anomaly detection
Preferred skills
Domain expertise in global oil markets, Geopolitical risk analysis
Technologies
Python, SQL, Statistical libraries
Responsibilities
Design and refine fundamental supply-and-demand models incorporating production capacity, refinery utilization, and geopolitical factors. Architect and enhance proprietary analytics tools for trade hypothesis evaluation and backtesting. Conduct time-sensitive quantitative analyses of market dislocations (supply disruptions, regulatory shifts). Develop data validation frameworks to assess dataset integrity. Optimize automated data ingestion pipelines for fundamental market data. Formulate and present proprietary trade ideas to senior traders and portfolio managers.
Seniority
Mid-level (1+ years experience)
