Quantitative / Machine Learning Engineer

You have a strong quantitative background and enjoy applying advanced modelling techniques to complex, real-world problems.

We are looking for someone with:

• An engineering degree, Master's degree or PhD in a quantitative field such as Mathematics, Physics, Machine Learning, Computer Science or a related discipline.
• Approximately 2-3 years of professional experience working with machine-learning models in production, ideally involving live forecasting or other real-time applications.
• Strong proficiency in Python.
• Experience with MongoDB, SQL and Shell scripting.
• A solid understanding of software architecture and production-quality development practices.
• Experience with Docker and familiarity with DevOps/MLOps environments, including CI/CD pipelines.
• Strong knowledge of machine-learning techniques, including supervised and unsupervised learning.
• Practical experience with time-series modelling and analysis.
• The ability to analyse complex systems and identify direct and indirect relationships between multiple signals and datasets.
• Strong communication skills and the ability to explain quantitative results clearly to both technical and business stakeholders.
• The ability to work effectively in a fast-paced, collaborative trading environment.

Additional Assets

The following would be considered an advantage:

• Previous exposure to energy, commodities or financial markets.
• Understanding of European power markets, power generation or energy supply mechanisms.
• Experience working with trading signals, forecasting models or optimization problems.
• Familiarity with project-management and collaborative tools such as Jira, Asana or Monday.com.

Why Join Us?

This role offers the opportunity to work at the forefront of data science and algorithmic trading within the energy sector.

You will work on advanced quantitative models with a direct connection to live markets and trading decisions, while collaborating with experienced professionals across trading, quantitative research and technology.

You will join an international environment where machine learning and quantitative analysis play an increasingly important role in optimizing TotalEnergies' activities across European power markets.