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Option trader • scarborough on
- Promoted
ML Electricity Trader
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ML Electricity Trader
Research Power CorporationToronto, ON, Canada- Full-time
Research Power Corporation, a subsidiary of Research Capital Financial Corporation, is a cutting-edge market participant specializing in trading electricity in the Northeastern Virtual and Physical markets. Utilizing advanced techniques such as deep learning, predictive modelling, and Bayesian mathematics, we navigate the complexities of the energy market to improve efficiency and provide value to our owners.
Role Overview
We are looking for an analytically exceptional Electricity Trader with a strong machine learning background and the competitive instincts to grow into a top-performing trader. This role is designed for someone who combines deep quantitative skill with strong judgment, communication, and accountability—and who wants direct ownership of decisions that impact PnL.
You will start by leveraging data, models, and market structure to support and improve trading decisions, with a clear path toward independent risk-taking and strategy ownership.
Core Responsibilities
- Analyze and trade day-ahead and real-time power markets, focusing on pricing drivers, congestion, and volatility
- Design, evaluate, and refine statistical and machine learning models for price forecasting, spread prediction, and regime detection
- Translate model outputs into actionable trading decisions, not just research
- Perform post-trade analysis to identify edge, biases, and execution improvements
- Monitor live markets, manage risk, and adapt positions as conditions evolve
- Partner closely with senior traders to absorb market intuition, discipline, and execution skills
- Clearly communicate ideas, risks, and outcomes—before and after trades
Required Background
Preferred Experience
What We Value
Compensation & Growth
Please direct your resumes to Patricia Foster at PFoster@researchcapital.com. Thank you.