Energy Trading: Quant Dev & Data Science Intern

TotalEnergies Group

Genf

Hybrid

CHF 20.000 - 27.000

Teilzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

TotalEnergies Group in Geneva is offering a Quantitative Development & Data Science Intern role. You will contribute to the research, development and implementation of quantitative solutions for energy trading, working closely with trading desks to test models and improve forecasting accuracy.

You will develop reliable Python-based code, collaborate with data scientists and developers, and gain exposure to power, gas and LNG markets in a fast-paced international environment.

Qualifikationen

  • Currently pursuing a Master's degree in Computer Science, Data Science, Mathematics, Physics or a related quantitative discipline.
  • Strong interest in quantitative algorithms, Machine Learning, data science, software engineering and energy trading.
  • Solid understanding of data science principles, numerical methods and optimization techniques, including linear programming.

Aufgaben

  • Research and develop quantitative algorithms addressing real-world challenges in electricity, gas and LNG trading.
  • Explore optimization techniques for asset dispatch, portfolio optimization and hedging strategies.
  • Validate modelling assumptions through data analysis and backtesting; translate models into practical software modules.

Kenntnisse

Python
Machine Learning
Data Science
Optimization
Linear Programming
Software Engineering
English Proficiency

Ausbildung

Master's degree in Computer Science / Data Science / Mathematics / Physics

Tools

Git
Jupyter
NumPy/Pandas

Jobbeschreibung

TotalEnergies Group in Geneva is offering a Quantitative Development & Data Science Intern role. You will contribute to the research, development and implementation of quantitative solutions for energy trading, working closely with trading desks to test models and improve forecasting accuracy.

You will develop reliable Python-based code, collaborate with data scientists and developers, and gain exposure to power, gas and LNG markets in a fast-paced international environment.

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