Quantitative / Machine Learning Engineer

Candidate Profile ###

As part of the Algorithmic Trading team, you will:

• Develop quantitative and machine-learning models supporting algorithmic trading strategies in European power markets.
• Build models across the full lifecycle, from data preparation and feature engineering through model training, optimization, validation and live deployment.
• Design new indicators, signals and features to improve quantitative and machine-learning trading models.
• Analyse large and complex datasets to identify patterns, relationships and trading signals.
• Conduct quantitative research on European power markets and translate market observations into actionable modelling ideas.
• Monitor the performance and robustness of models in both simulated and live trading environments.
• Continuously assess model behaviour and identify opportunities to improve forecasting accuracy and trading performance.
• Contribute to rigorous back-testing, validation and model-performance methodologies.
• Work with cross-functional teams to bring models into production and ensure their reliability, scalability and maintainability.
• Collaborate closely with algorithmic traders and technology teams to turn quantitative research into operational trading solutions.
• Contribute your data science expertise to broader modelling and optimization topics within the team.

Context & Environment ###

TotalEnergies is developing its activities across the power value chain, with a growing portfolio of renewable generation, flexible assets and power supply activities across Europe.

Within Trading & Shipping, our algorithmic trading teams are building advanced quantitative and machine-learning solutions to support trading and optimization activities in European short-term power markets.

As a Quantitative / Machine Learning Engineer, you will join a highly technical and collaborative environment at the intersection of energy trading, quantitative modelling, machine learning and software engineering.

You will contribute directly to the development of models and algorithms used to identify and capture opportunities in European power markets, working closely with quantitative analysts, algorithmic traders, data scientists and IT specialists.

The role offers significant exposure to fast-moving energy markets and the opportunity to work on models that move from research and back-testing through to live production and ultimately contribute to trading performance.

Context & Environment ###

TotalEnergies is developing its activities across the power value chain, with a growing portfolio of renewable generation, flexible assets and power supply activities across Europe.

Within Trading & Shipping, our algorithmic trading teams are building advanced quantitative and machine-learning solutions to support trading and optimization activities in European short-term power markets.

As a Quantitative / Machine Learning Engineer, you will join a highly technical and collaborative environment at the intersection of energy trading, quantitative modelling, machine learning and software engineering.

You will contribute directly to the development of models and algorithms used to identify and capture opportunities in European power markets, working closely with quantitative analysts, algorithmic traders, data scientists and IT specialists.

The role offers significant exposure to fast-moving energy markets and the opportunity to work on models that move from research and back-testing through to live production and ultimately contribute to trading performance.