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TOTSA TotalEnergies Trading SA in Geneva invites applications for a modelling and analysis role on the Gas/LNG/Dry trading desk. You will develop scalable frameworks, maintain analytical tools, and work with data scientists and traders across global desks.
Fluent English required; MSc in a quantitative field; 2+ years LNG/Natural Gas trading experience; strong programming (Python/SQL) and quantitative methods.
The position is based on the Geneva trading floor, with regular contact with Houston, Singapore and Paris based teams.
The Modelling and Analysis for Trading Strategies team aims at providing a better understanding of the markets traded by TotalEnergies Gas and Power (TGP) in terms of prices and fundamentals, finding ways to model and forecast their dynamics and dealing with complex issues requiring a quantitative approach. The Gas/LNG/Dry Modelling and Analysis team is formed of market fundamentals experts and quantitative researchers. In a context of great autonomy, the team contributes with interpretation of market, advisory and support to all TGP trading desks and to senior management - including COMEX members - and helps them define trading strategies and take investment decisions. The job holder influences the global TGP trading performance and works with trading desks and other stakeholders throughout the organization to identify opportunities for leveraging data in order to help traders take positions on the market and more broadly the Company to catch new business opportunities. This requires in-depth analysis of complex and unique problems as well as creative and strategic thinking. The holder of the position will work on the Global Gas balance, with particular focus and responsibility on maintaining existing analytical tools and create new ones. Excellent coding capabilities and quantitative mindset are required.
You will be at the forefront of development of scalable, reusable, and intelligent frameworks that contribute to long-term P&L growth, ensuring they are built as maintainable, long-living, production-grade solutions. You will build extensible frameworks that evolve with business needs and are used across Gas&LNG trading desks. You will iteratively enhance these frameworks to support rapid feature delivery while minimizing technical debt and ensuring long-term maintainability. You will provide support to users (data scientists from MATS teams and traders) by leveraging your solid understanding of the tools developed in the team. You will facilitate their work by clearly presenting the features and guiding them to fully utilize the capabilities of the frameworks, ensuring they can maximize their potential. You will collaborate with key partner teams (e.g. Algo Strategies, Modelling & Analysis) to co-develop specialized tools, ensuring flexibility for researchers while maintaining core architectural standards. You will work on a variety of different problems related to energy and commodity markets and acquire business knowledge.
TotalEnergies Gas and Power is the trading arm of TotalEnergies in the field of low carbon energies (mainly gas, LNG and power). As such it operates in fast-evolving market dynamics influenced by internal and external factors that require constant adaptation and evolution. Uncertainties specific to the trading environment (volatility of prices, supply & demand mismatches) are coupled with those coming from the broader energy sector (climate change policies, changes in the energy mix, developments of new energy sources, etc). In such context Trading helps to ensure growth and profitability to a key segment of the business in order to reach the objective of Carbon Neutrality by 2050.