Quantitative LNG Analyst / Quantitative LNG Analystess

Position Overview

The position is based on the Geneva trading floor, with regular contact with teams located in Houston, Singapore, and Paris.

Job Dimensions

The Modelling and Analysis for Trading Strategies team aims to provide a deeper understanding of the markets traded by TotalEnergies Gas and Power (TGP). This includes analyzing prices and fundamentals, modeling and forecasting market dynamics, and addressing complex issues through a quantitative approach. The Gas/LNG/Dry Modelling and Analysis team consists of market fundamentals experts and quantitative researchers. Working in an environment that fosters autonomy, the team offers market interpretation, advisory support to TGP trading desks, senior management—including COMEX members—and assists in defining trading strategies and making investment decisions.

The job holder will influence global TGP trading performance, collaborating with trading desks and other stakeholders to identify opportunities for leveraging data that aids traders in market positioning and enables the company to explore new business opportunities. This role requires in-depth analysis of complex problems combined with creative and strategic thinking. The successful candidate will focus on maintaining existing analytical tools related to the Global Gas balance while also developing new tools. Excellent coding capabilities and a quantitative mindset are essential.

Activities

• Lead the development of scalable, reusable, and intelligent frameworks that contribute to long-term P&L growth, ensuring they are maintainable, long-lasting, production-grade solutions.
• Design extensible frameworks that adapt to evolving business needs and are utilized across Gas & LNG trading desks.
• Enhance these frameworks iteratively to support rapid feature delivery while minimizing technical debt and ensuring long-term maintainability.
• Provide support to users (data scientists from MATS teams and traders) by leveraging a solid understanding of the tools developed within the team, facilitating their work through clear presentations of features and guidance on maximizing tool capabilities.
• Collaborate with key partner teams (e.g. Algo Strategies, Modelling & Analysis) to co-develop specialized tools, maintaining flexibility for researchers while adhering to core architectural standards.
• Engage with a variety of problems related to energy and commodity markets while gaining business knowledge.

Context and Environment

TotalEnergies Gas and Power is the trading arm of TotalEnergies focused on low carbon energies (primarily gas, LNG, and power). Operating in rapidly changing market dynamics influenced by both internal and external factors necessitates continuous adaptation and evolution. Uncertainties tied to trading environments (price volatility, supply and demand mismatches) coincide with broader energy sector challenges (climate change policies, shifts in the energy mix, and advancements in new energy sources). In this context, Trading plays a vital role in achieving growth and profitability to support the overarching objective of Carbon Neutrality by 2050.

Accountabilities

• Test and integrate advanced techniques and quantitative algorithms, with a focus on continuous improvement.
• Participate in defining the forward view for the iGas desks.
• Help build and communicate a comprehensive view of energy markets, enhancing the company's understanding of market interactions.
• Contribute to managing relationships with related Total entities and clients of the Research team.

Qualifications/Experience Required

• Strong technical or engineering background with an MSc in Computer Science, Mathematics, Physics, or Engineering.
• At least 2 years of experience in similar roles covering LNG and/or Natural Gas in a trading environment.
• A curious individual with strong team spirit, driven to innovate and improve beyond the status quo.
• Strong adaptability to continuously changing environments.
• Proficient programming skills (Python, SQL), along with familiarity with optimization frameworks and statistical methods.
• Fluent in English (oral and written); knowledge of French and/or other languages is advantageous.
• The role requires autonomy, objectivity, innovation, resourcefulness, and strong organizational skills.
• The ideal candidate should effectively explain complex issues in a concise manner, demonstrate openness to challenges, and adopt a proactive approach.

Apply online using the form below. Only applications matching the job profile will be considered.