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Lead the analysis and forecasting of power market dynamics across multiple U.S. electricity markets
Provide advanced analytical support for real-time and long-term decision-making in energy trading operations
Utilize complex economic and statistical methodologies, including machine learning algorithms, to extract insights from structured and unstructured datasets and identify profitable trading opportunities
Manage the development, calibration, and refinement of proprietary power market models that incorporate transmission grid behavior, market rules, and emerging distributed energy technologies (including energy storage and DERs)
Conduct in-depth research and scenario analysis to evaluate long-term trends in market fundamentals, regulatory policies, and system operations
Collaborate with other trading professionals to enhance model performance and ensure integration into live trading environments
Requirements:
Master's Degree in Applied Statistics, Statistical Practice, Energy Systems, Electrical Engineering, or a closely related field
2 years work experience as a Power Trading Analyst or any power market occupation involving quantitative analysis of the electricity market
Graduate academic coursework or knowledge involving optimal power flow modeling tools (such as PowerWorld, GEMAPS, DAYZER or Gridview)