Short-Term Power Trader & Operations Pro

ENGIE Italia

Roma

In loco

EUR 42.000 - 49.000

Tempo pieno

27 ore fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

ENGIE Italia is seeking a POWER Short Term Trader & Operations Specialist in Rome to optimize asset dispatch and trading activity within the Assets Optimization and Trading team. The role focuses on maximizing margins across Day Ahead, Intraday and ancillary markets while managing risk and ensuring accurate reporting.

The candidate should have a finance/economics background, strong quantitative skills, and familiarity with energy markets, trading environments, Python and Excel.

Competenze

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

Mansioni

  • Manage Power Asset: spot market dispatching and optimization (Day Ahead, Intraday, Ancillaries).
  • Optimize bidding on power balancing markets based on probabilistic models to maximize margins.
  • Manage Short Term Trading positions within the allowed risk mandate and ensure accuracy of daily, weekly and monthly reporting.
  • Settlement & Margin Operations: Execute end-to-end settlement processes and daily margin calculations for Engie Assets and Short Term Trading activities.
  • Propose improvement of models, processes & IT tools and follow up implementation.

Conoscenze

Quantitative analysis
Probabilistic modeling
Trading environment knowledge
Energy markets knowledge

Formazione

Degree in Finance/Economics

Strumenti

Python
Excel (VBA)

Descrizione del lavoro

ENGIE Italia is seeking a POWER Short Term Trader & Operations Specialist in Rome to optimize asset dispatch and trading activity within the Assets Optimization and Trading team. The role focuses on maximizing margins across Day Ahead, Intraday and ancillary markets while managing risk and ensuring accurate reporting.

The candidate should have a finance/economics background, strong quantitative skills, and familiarity with energy markets, trading environments, Python and Excel.

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