Quantitative Researcher - Commodities

Overview

In this role you will develop systematic trading strategies across commodity markets to generate alpha and maintain analytics infrastructure. You will join DRWs global commodities trading team to advance data pipelines and data-driven decision making. You will analyze large datasets, apply AI and LLMs, and translate business needs into data science projects. You will collaborate with stakeholders and contribute to post-trade diagnostics and tooling, enabling scalable trading insights. This is a fast, data-driven, entrepreneurial environment with meaningful impact.

Responsibilities

• Develop systematic trading strategies and alpha-generating signals for commodity markets
• Enhance data collection and pipelines to support research and trading
• Analyze large datasets and build/maintain models for trading decisions
• Extract and organize data from multiple sources for quantitative analysis
• Develop analytical tools and translate business needs into data science projects
• Collaborate with stakeholders at each project stage and communicate results to diverse audiences
• Create and maintain post-trade diagnostics tools across strategies

Key requirements

• Bachelor/Master/PhD in relevant technical field
• Experience with AI and LLMs
• Minimum of two years in an alpha-generating role
• Experience with large datasets, data cleaning, preprocessing, feature engineering
• Experience building, validating, deploying, monitoring predictive models
• Excellent programming and scripting skills
• Experience working independently and delivering results
• Strong communication and collaboration skills
• Outcome-driven, team-focused attitude
• strong collaboration
• clear written and oral communication
• stakeholder management
• AI and LLMs
• data pipelines and data engineering
• predictive modeling

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