Quantitative Trading & Data Science Intern – Energy Markets

TotalEnergies; Genf; Vor Ort; CHF 21.000 - 33.000; Vollzeit

Zusammenfassung

TotalEnergies invites a Quant Development & Data Science Intern to Geneva to work on quantitative models for energy trading. You will collaborate with trading desks to build, test and backtest models addressing electricity, gas and LNG markets, exploring ML approaches and extending AutoML capabilities.

You will implement reliable Python code, participate in reviews, and work with cross-functional teams to translate business challenges into practical analytical solutions in a fast-paced,

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.
• Proficiency in Python and familiarity with software development best practices.
• An analytical and structured approach to problem-solving, with the ability to challenge assumptions and explore alternative solutions.
• Curious, proactive and eager to learn, with a genuine interest in applying quantitative methods to real business challenges.
• Comfortable collaborating with different stakeholders in an international and fast-paced environment.
• Advanced proficiency in English, both written and spoken. French is an advantage.
• A tri-partite agreement is mandatory

Aufgaben

• Research and develop quantitative algorithms addressing real-world challenges in electricity, gas and LNG trading.
• Explore optimization techniques for flexible asset dispatch, portfolio optimization, supply-demand matching under constraints and hedging strategies.
• Validate modelling assumptions through data analysis, numerical experiments and backtesting.
• Contribute to the implementation of quantitative models into existing or new algorithmic products.
• Research and test Machine Learning approaches for time-series forecasting and energy market applications.
• Develop and evaluate new modules to extend the capabilities of existing AutoML libraries.
• Analyze datasets, assess model performance and identify opportunities to improve forecasting accuracy and robustness.
• Develop reliable and maintainable Python code for quantitative applications.
• Participate in code reviews, testing and integration processes to ensure high-quality software solutions.
• Work with quantitative developers, data scientists and trading teams to translate business challenges into practical analytical solutions.
• Develop your understanding of the fundamentals of power, gas and LNG markets and their operational and commercial dynamics.

Kenntnisse

Python

Machine Learning

Data Science

Optimization

Numerical Methods

Linear Programming

Software Engineering

Ausbildung

Master's degree (CS/DS/Math/Physics)

Jobbeschreibung

TotalEnergies invites a Quant Development & Data Science Intern to Geneva to work on quantitative models for energy trading. You will collaborate with trading desks to build, test and backtest models addressing electricity, gas and LNG markets, exploring ML approaches and extending AutoML capabilities.

You will implement reliable Python code, participate in reviews, and work with cross-functional teams to translate business challenges into practical analytical solutions in a fast-paced,