Quantitative Researcher - Commodities, Weather

Summary

Join DRW's Commodities Weather Team as a Quantitative Researcher. Apply statistical and machine learning techniques to model commodity fundamentals and support the maintenance and expansion of in-house models. Collaborate with engineers to deploy new models in a production environment, formulate trading ideas by analyzing fundamental and weather datasets, and research predictive signals for systematic trading strategies. A Master's or PhD in a technical discipline (Physics, Mathematics, or Statistics) is required, along with strong proficiency in probability and statistics and programming experience in Python or R. Prior exposure to commodities (energy/ags), weather, and systematic trading is highly advantageous.

Requirements

• Master’s or PhD in a technical discipline, preferably Physics, Mathematics, or Statistics
• Strong proficiency in probability and statistics, including time series analysis, econometrics, and machine learning
• Programming experience in Python or R

Responsibilities

• Apply statistical and machine learning (ML) techniques to model commodity fundamentals
• Support the maintenance and expansion of our in-house suite of models
• Collaborate with engineers to deploy new models in a production environment
• Formulate trading ideas by analyzing fundamental and weather datasets
• Research and develop predictive signals for use in systematic trading strategies

Preferred Qualifications

• Prior exposure to commodities (energy/ags) is a plus
• Prior exposure to weather is a plus
• Experience in systematic trading is highly advantageous