Country Switzerland City GENEVE Workplace location GENEVE-WTC1(CHE) Employer company TotalEnergies Gas & Power Ltd Domain Strategy Economics Business Type of contract Regular position Experience Minimum 6 years Context & Environment

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.

 

The team 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.

 

We are looking for our new AI and Optimization Engineer. This position is based in Geneva and reports to the Manager AI & Quant Development (N+1) and the VP MATS (N+2). The role is part of the Gas Trading Division within the Gas Renewables & Power branch.

Activities You will be at the forefront of development of scalable, reusable, and intelligent frameworks that drive 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 different trading desks.You will iteratively enhance these frameworks to support rapid feature delivery while minimizing technical debt and ensuring long-term maintainability.You will develop and maintain production-grade Auto‑ML libraries for time series forecasting, enabling rapid, high-quality model development with robust support for data processing, feature engineering, model selection, and deployment.You will provide expert support to users (data scientists from MATS teams and traders) by leveraging your comprehensive understanding of the frameworks 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.

Your key responsibilities will include:

Taking ownership of the products and helping implement processes to guarantee a successful deployment.Be conscientious of and promote best development practices to ensure quality and robustness of usage.Create accompanying applications (such as for interactive visualization and simulations) to facilitate user understanding and interaction with the core frameworks. Ensure adherence to the product life cycle, including all phases from initial concept through to product release and post-release activities. Test and integrate advanced techniques and quantitative algorithms, with a focus on continuous improvement.Oversee the frameworks, monitor performance (both in terms of results and computational efficiency), and proactively implement enhancements based on analytical findings.Ensure comprehensive documentation is created and maintained for all frameworks, to guide users in utilizing these applications effectively. Frequently communicate with the core teams of MATS and trading desks to ensure solid business knowledge, understanding of trading desk activities, challenges, and pain points.

Candidate Profile You are a talented individual with a strong technical or engineering background. A PhD in Computer Science or Physics is an advantage.You are a continuous learner with a strong team spirit, always seeking to improve and innovate beyond the status quo. An individual who demonstrates the ability to adapt and successfully collaborate with colleagues from di-verse backgrounds, and likes proactively sharing acquired knowledge. 5+ years of proven experience in software development and/or maintenance, and working with large code-bases. Must be able to write scalable, well-tested and well-documented code that adheres to best practices, and is pre-pared for future use cases. Experience debugging and safe refactoring legacy code is required. You show a strong understanding of Data Science, ML, and algorithmic methods, with demonstrated experience working with a diverse array of algorithms (time series forecasting, AutoML, constrained optimization, matching, anomaly detection, etc.). Experience in developing quantitative algorithms is an advantage.You have interest or familiarity with energy and commodities markets, and ability to develop appropriate algorithms (use cases such as backtesting, portfolio optimization, physical and financial assets pricing, dispatch optimization,  etc.)Mindset to design extensible and reusable code according to business needs. Experience with product cycle (development, validation, deployment).Experience with cloud computing, DevOps/MLOps best practices, CI/CD, and containerization. Knowledge of relational and non-relational databases (SQL, MongoDB).Clear and effective communication skills for reporting and collaboration. You are fluent in English or French native/fluent speaker with an advanced English level. 

Additional and advantageous requirements:

-    Experience with concurrent programming (multiprocessing, multithreading, gpu-acceleration).

-    Demonstrated contributions to open-source projects.

-    Experience with AWS and Databricks.

Additional Information TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.