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Quantitative LNG Analyst

TOTSA TotalEnergies Trading SA

Suiza📅 31/10/2026

Descripción

The position is based on the Geneva trading floor, with regular contact with Houston, Singapore and Paris based teams.JOB DIMENSIONS 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. ACTIVITIESYou 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 scientis
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