Energy Trading ML Engineer Real-Time Quant Modeling

TOTAL Deutschland GmbH; Genf; Vor Ort; CHF 110.000 - 170.000; Vollzeit

Zusammenfassung

TotalEnergies is seeking a Quantitative / Machine Learning Engineer to join its trading tech team in Geneva. You will develop models for European power markets, bridging research, back-testing and live deployment while collaborating with analysts, traders and IT staff.

The role emphasizes production-quality ML, time-series analysis and robust software practices, with exposure to fast-paced energy trading and cross-functional projects across TotalEnergies’ European activities.

Qualifikationen

• 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 with live forecasting or 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.
• 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.

Aufgaben

• Develop quantitative and machine-learning models for algorithmic trading 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.

Kenntnisse

Python

Time-series analysis

Analytical thinking

Communication skills

Team collaboration

Ausbildung

Engineering degree or higher in Mathematics, Physics, ML, CS or related

Tools

MongoDB

SQL

Shell scripting

Docker

CI/CD

Jobbeschreibung

TotalEnergies is seeking a Quantitative / Machine Learning Engineer to join its trading tech team in Geneva. You will develop models for European power markets, bridging research, back-testing and live deployment while collaborating with analysts, traders and IT staff.

The role emphasizes production-quality ML, time-series analysis and robust software practices, with exposure to fast-paced energy trading and cross-functional projects across TotalEnergies’ European activities.