Quantitative Researcher - Commodities, Weather
DRW
Overview
Role involves applying statistical and ML techniques for commodity modeling and trading strategies.
Ideal candidate should have a Master's or PhD in a technical field with strong statistical and programming skills.
remoteEnglishPythonRmachine learning
Locations
United Kingdom, England, London
Requirements
Master's or PhD in a technical discipline Strong proficiency in probability and statistics Programming experience in Python or R
Responsibilities
Apply statistical and ML techniques to model commodity fundamentals Support maintenance and expansion of in-house models Collaborate with engineers to deploy new models Formulate trading ideas from datasets Research and develop predictive signals for trading strategies