Trader
Core
Design, build, and deploy data-driven models to enhance trading strategies, generation dispatch, fuel procurement, hedging, and risk management across electricity and gas markets.
Role type
Quantitative data scientist (energy trading)
Builds
Data-driven models for trading optimization, generation dispatch, and risk management
Domain
Energy markets (electricity and gas) + Applied AI/Data Science
Deliverable
production ML models
Required skills
Python, SQL, time-series analysis, optimization techniques, quantitative modelling, data visualization (Power BI/Tableau), cloud platforms (AWS/Azure/GCP)
Preferred skills
Power and gas market knowledge, algorithmic trading experience, quantitative finance background
Responsibilities
Execute compliant market trades and nominations; coordinate with power plants for generation dispatch; deploy analytics to guide trading decisions; maintain and validate optimization tools; build data pipelines for market and fundamental data
Seniority
Mid-level, hands-on IC
