Quantitative LNG Analyst

TotalEnergies; Genf; On-site; CHF 120,000 - 180,000; Full time

Job summary

TotalEnergies Gas & Power (TGP) recrute pour renforcer son équipe Modelling & Analysis for Trading Strategies (MATS). Vous contribuerez au développement de cadres analytiques et à l’application de modélisations pour soutenir les décisions de trading, en lien avec les desks et les équipes de recherche.

Profil recherché: MSc en informatique, maths, physique ou ingénierie, 2+ années dans LNG/gaz, maîtrise de Python/SQL etanglais courant.

Qualifications

• Diplôme MSc dans les domaines listés.
• Expérience d’au moins 2 ans dans des rôles similaires LNG et/ou gaz naturel en trading.
• Capacité à expliquer des problématiques complexes et présenter clairement les résultats.

Responsibilities

• Concevoir et faire évoluer des cadres analytiques scalables et réutilisables pour le trading.
• Travailler avec les desks Gas/LNG/Dry pour déployer des outils et modèles.
• Collaborer avec les équipes Algo Strategies et Modelling & Analysis pour co-développer des outils.
• Fournir un support utilisateur aux data scientists et traders en démontrant les fonctionnalités des frameworks.

Skills

MSc en informatique/math/physique/ingé

Expérience LNG/Gas en trading

Anglais courant

Python/SQL

Education

MSc en informatique/math/physique/ingénierie

Tools

Optimization frameworks

Méthodes statistiques

Job description

Contexte et environnement

TotalEnergies Gas & Power (TGP) is the trading arm of TotalEnergies in the field of low-carbon energies. With more than 550 employees, TGP operates in Switzerland, the United States, Singapore, France, Germany and Spain. It evolves in fast-changing market dynamics influenced by internal and external factors that require constant adaptation. TGP is responsible for optimizing the purchase and sales portfolios of gas, electricity, CO ₂ emissions, dry bulk and LNG across global markets, in compliance with the Company’s trading guidelines.

Contexte et environnement

TotalEnergies Gas & Power (TGP) is the trading arm of TotalEnergies in the field of low-carbon energies. With more than 550 employees, TGP operates in Switzerland, the United States, Singapore, France, Germany and Spain. It evolves in fast-changing market dynamics influenced by internal and external factors that require constant adaptation. TGP is responsible for optimizing the purchase and sales portfolios of gas, electricity, CO ₂ emissions, dry bulk and LNG across global markets, in compliance with the Company’s trading guidelines.
Join the Modelling and Analysis for Trading Strategies team (MATS) at the heart of TotalEnergies Gas & Power (TGP) trading activities, where data, market fundamentals and quantitative modelling come together to support trading decisions
The Gas/LNG/Dry Modelling & Analysis team brings together market fundamentals experts and quantitative researchers who work closely with trading desks to understand market dynamics, anticipate price movements and identify opportunities. Through advanced analysis, modelling and forecasting, the team provides insights that help shape trading strategies and support strategic decision-making.

Activités

• 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.

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.

Profil du candidat

• Strong technical or engineering background with a MSc in Comp. Science, Mathematics, Physics or Engineering
• At least 2 years experience on similar roles covering LNG and/or Natural Gas in a trading environment.
• A curious individual with a strong team spirit, always seeking to improve and innovate beyond the status quo.
• Strong ability to adapt to continuously changing environment.
• Programming skills (Python,SQL,), as well as familiarity with Optimization frameworks and statistical methods;
• Fluent in English (oral and written) – knowledge of French and/or other languages is an advantage;
• The position requires autonomy, objectivity, innovation, to be resourceful and well organised
• The ideal candidate should be able to explain complex issues and present them in a clear and concise manner. He/she should demonstrate openness when their ideas are challenged, and bring a proactive approach.