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This front-office analytic position is responsible for the Data Science analysis of a CRR/FTR Trading portfolio in the Dallas Texas area. The trading team manages the physical and financial congestion risk of their generation and load. Specifically, this position will conduct power market research using machine learning-based predictive models to analyze price patterns, load and other congestion drivers to evaluate risk and identify trade signals. It is highly interactive with Traders and other key internal stakeholders.
Educational and professional qualifications include an advanced degree in economics, power engineering, data science/data analytics or computer engineering with a minimum of 2+ years’ experience in the power market and strong data science/machine learning skills. Technology requirements include Python or R, Tableau, and Power BI. Submit resumes to firstname.lastname@example.org.