TotalEnergies Gas and Power is the trading arm of TotalEnergies, focused on low‑carbon energies including gas, LNG, and power. Operating in fast‑evolving markets, the business must constantly adapt to dynamics shaped by both internal and external factors. Price volatility, supply‑demand imbalances, and broader energy sector shifts—such as climate policies, changes in the energy mix, and the rise of new energy sources—create a complex environment.

Within this context, trading plays a critical role in driving growth and profitability across a key segment of the business, supporting TotalEnergies’ ambition to achieve carbon neutrality by 2050.

Role Overview:

Purpose:

The position is within the Modelling and Analysis for Trading Strategy (MATS) department, which is responsible for the end-to-end design and development of comprehensive quantitative models, state-of-the-art analytical and AI tools, and research that help optimize trading decisions across all TGP trading desks. Positioned at the strategic interface between Trading, Risk Management and IT, it guarantees the agility, robustness and continuous innovation of the algorithms driving TGP market strategy.

Objectives:

Develop and maintain high-performance algorithmic and AI-driven quantitative products tailored for trading and energy optimization. The teams’ key role is to build and maintain long-lasting frameworks for various advanced use cases (e.g. forecasting, AutoML, optimization, physical dispatch, backtesting, etc.), capable to adapt to diverse trading strategies as well as effectively address complex challenges such as pricing, hedging, trading, transactions, and asset management. The team is committed to driving innovation while delivering enduring product excellence. The team comprises highly skilled data scientists, software and quant developers, with deep domain expertise in energy and commodities markets.

Impact:

The role directly impacts TGP’s trading performance by contributing to long-term P&L growth through scalable, reusable and intelligent solutions that last. Such a role demands strong technical skills, critical thinking and a team spirit

Location:

Based in Houston, TX

Key Responsibilities:

• Develop scalable, reusable frameworks that drive long-term P&L growth and adapt to evolving business needs.
• Enhance and maintain production-grade solutions, ensuring rapid feature delivery, minimal technical debt, and long-term reliability.
• Support analysts, data scientists, and traders by clearly presenting features and guiding effective use of tools.
• Collaborate with partner teams to co-develop specialized tools while maintaining architectural standards.
• Apply advanced quantitative techniques, build visualization/simulation applications, and promote best development practices.
• Document solutions thoroughly and communicate regularly with MATS and trading desks to align with business challenges and opportunities.

Key Qualifications:

• Strong technical/engineering background (BEng/MSc in a quantitative field); fluent in English with international/multicultural experience a plus
• 3+ years’ Python development experience, including scalable, well-tested code, debugging, and refactoring legacy systems; skilled in CI/CD, containerization, databases, APIs, and visualization dashboards
• 2+ years’ energy trading experience with knowledge of US gas and power markets; capable of developing algorithms for backtesting, portfolio optimization, asset pricing, and dispatch
• Solid foundation in data science, machine learning, deep learning, and quantitative algorithms (e.g., time series forecasting, optimization)
• Collaborative, adaptable, and innovative team player with clear communication skills; familiar with AWS, Spark, Prefect, Flask, REST, GraphQL, SQL, MongoDB, Plotly/Dash, TensorFlow, and PyTorch