Structured Power Middle Office Analyst Intern — TotalEnergies

Description complète

Context & Environment: Preferred start date: December 2026 Your next challenge starts in Geneva! Interested in European power markets, quantitative finance and the technologies transforming energy trading? Join our Structured Power Middle Office team in Geneva and gain exposure to the management of complex physical and financial power transactions, renewable energy portfolios and the risks associated with Europe's evolving electricity markets. Working at the intersection of trading, risk management and technology, you will contribute to meaningful projects combining portfolio analysis, automation, data analytics and artificial intelligence. TotalEnergies has developed a strong expertise in oil, biofuels, natural gas and electricity trading. Trading entities are based in Geneva, Paris, Dubai, Athens, Houston and Singapore. TotalEnergies installed its European trading hub across in Geneva, which now bring together very large teams around trading activities: TotalEnergies Trading & Shipping (T&S) and TotalEnergies Gas and Power (TGP). Activities: Portfolio & Risk Analysis

• Analyze daily P&L, portfolio exposures and risk metrics across structured power portfolios.
• Investigate valuation movements, identify key market drivers and help resolve data or reporting discrepancies.
• Support risk monitoring and ad hoc analysis of power market fundamentals, asset performance and portfolio exposures. Data Analytics & Automation
• Develop analytical tools and automation solutions using Python, VBA and SQL.
• Contribute to the automation of recurring controls, reconciliations and reporting processes.
• Leverage Databricks to process large datasets and develop dashboards or internal applications using Streamlit and data visualization tools. Artificial Intelligence & Innovation
• Explore practical applications of Machine Learning and Generative AI in reporting, analytics, anomaly detection and information extraction.
• Identify opportunities to strengthen existing controls, improve operational efficiency and support decision-making through scalable technology solutions. European Power Markets
• Gain exposure to renewable energy transactions, Power Purchase Agreements (PPAs), battery storage and flexibility assets.
• Develop an understanding of renewable integration, capture prices, imbalance risk and electricity price formation.
• Collaborate with Trading, Risk, Operations and Finance teams on cross-functional projects. We are committed to meet the energy needs of a growing population and we are committed to the energy transition. The volatility of the energy trading markets requires excellence in risk management and a culture of innovation. We are fully embracing the digital revolution. Our people flourish in an environment that promotes expertise, entrepreneurship spirit, agility and a purpose-driven culture, generating boundless opportunities to learn, grow and achieve collaborative success. Reinforcing the competencies of our people is a key pillar of our culture: we train our people to ensure their development and we pledge to encourage safety in all our actions. We look for passion, ambition and open-mindedness. While we evolve in a demanding industry that requests to be always on the edge, we cultivate a friendly workplace where our people feel good, where team spirit and respect guide our daily routine, where the diversity of our people and their skills create a nourishing experience for all of us. Candidate Profile: What we're looking for
• Currently pursuing a Master's degree or in the final year of studies in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, Data Science, Computer Science, Engineering, Economics or a related field.
• Strong programming skills in Python and advanced proficiency in Excel. Knowledge of VBA is highly desirable.
• Familiarity with SQL, Databricks, Streamlit and analytical libraries such as Pandas, NumPy or Plotly would be an advantage.
• Strong interest in Artificial Intelligence, Machine Learning and Generative AI.
• An understanding of financial modelling, derivatives, valuation or risk metrics would be appreciated.
• Genuine interest in commodity trading and energy markets, particularly European power.
• Excellent analytical and problem-solving skills, with a rigorous, curious and detail-oriented approach.
• Ability to translate business challenges into practical technical solutions.
• Strong communication skills, a collaborative mindset and fluency in written and spoken English.

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