TOTSA TotalEnergies Trading SA
Tech Lead – Advanced Analytics (m/w/x)
Vollzeitnur vor OrtSenior
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TOTotalEnergies Gas & Power Ltd
Quantitative / Machine Learning Engineer (m/w/x)
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
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Developing quantitative and ML models for algorithmic trading in European power markets. 2-3 years of production ML experience with Python required. Full lifecycle model development from data prep to live deployment.
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Anforderungen
- Strong quantitative background and enjoyment of applying advanced modelling techniques
- Engineering degree, Master's, or PhD in Mathematics, Physics, Machine Learning, Computer Science, or related discipline
- 2–3 years of professional experience with machine-learning models in production, ideally involving live forecasting or real-time applications
- Strong proficiency in Python
- Experience with MongoDB, SQL, and Shell scripting
- 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 relationships between signals and datasets
- Strong communication skills and ability to explain quantitative results clearly
- Ability to work effectively in a fast-paced, collaborative trading environment
- 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
Aufgaben
- Develop quantitative and machine-learning models for algorithmic trading
- Build models across the full lifecycle, from data preparation to live deployment
- Design new indicators, signals, and features for trading models
- Analyze large datasets to identify patterns and trading signals
- Conduct quantitative research on European power markets
- Translate market observations into actionable modelling ideas
- Monitor model performance in simulated and live trading
- Assess model behavior to improve forecasting and trading performance
- Contribute to model back-testing, validation, and performance methodologies
- Work with cross-functional teams to bring models into production
- Ensure model reliability, scalability, and maintainability
- Collaborate with traders and technology teams on trading solutions
- Contribute data science expertise to broader modelling and optimization topics
Berufserfahrung
2 - 3 Jahre
Ausbildung
Doktor / Ph.D.
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
PythonMongoDBSQLShell scriptingDockerCI/CD pipelinesJiraAsanaMonday.com
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TotalEnergies has developed expertise in oil, biofuels, natural gas, LNG, and electricity trading, focusing on low carbon energies.
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