Algorithmic Power Trader

About the role

Develop, back-test, and improve automated trading strategies and optimization tools for renewable energy assets, using market analysis, forecasts, asset constraints, and risk parameters. Monitor trading performance and collaborate with trading, IT, forecasting, asset management, and operations teams to support continuous real-time market participation. A bachelor’s degree in engineering, applied mathematics, finance, or another quantitative discipline is required; relevant postgraduate study is an advantage. Candidates should have at least two years of power trading or quantitative energy experience, strong modeling and optimization skills, and proficiency in Python, Julia, or C#; intraday algorithmic trading and Greek or European market experience are valued.