Short Term Power Optimizer

Short Term Power Optimizer

Engie

Rome, Italy

Mission:

Short Term Power Optimizer candidate will be part of Assets Optimization and Trading (AOT, one of the local department of Global Energy Management Italy –GEM Italy– ). His/her activity will be learning how to create value around GEM Italian assets.

Based on its perimeter defined by Head of POWER Short Term Optimization & Trading, the candidate will learn:

  • The Italian power market players and elements (Power Plants, transmission grid flows);
  • Power spot market (Day Ahead; Intraday, Ancillaries markets): understanding and deep learning on the main drivers and fundamentals;
  • How manage power assets with analysis based on probabilistic models, maximizing results and minimizing risk, through all flexibility offered by the markets;
  • How assess market strategies of competitors through the development of new analysis tools.

Short Term Power Optimizer will directly report to the Short Term Power Optimization & Trading desk Manager. The ideal profile matches with the followings prerequisites:

Degree/Experience:

  • Degree in Economics/Engineering/Mathematics/Data science;
  • Excellent attitude in quantitative analysis and probabilistic model;
  • Knowledge of energy markets is a plus;
  • Knowledge of trading environment is a strong plus.

Behavioral:

  • Attitude to change, "mobility", "flexibility" is required;
  • Strong team player; humble and communicative. Interested to others opinion;
  • Strongly customer oriented. Respectful of others stakeholders and polite;
  • Eager to learn new things; curious and passionate in commodities and financial markets and new developments in the energy sphere;
  • Strong analytical skills and ability to apply those skills in a practical fashion;
  • Strong work ethic, attention to details and risk awareness;
  • An attitude and practice of proactive idea generation and continuous review and improvement of processes.

Language, IT:

  • Fluent English;
  • Proficient knowledge of Excel and possibly Python.

Don't forget to mention EuroClimateJobs when applying.

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