Energy Trading ML Engineer – Real-Time Quant Modeling

TotalEnergies Group; Genf; A distancia; CHF 140.000 - 180.000; Jornada completa

Descripción de la vacante

TotalEnergies is seeking a Quantitative / Machine Learning Engineer to join its Algorithmic Trading team in Geneva. You will develop models for energy trading across European power markets, moving from research to live deployment, collaborating with quants, traders and IT specialists.

You will work on time-series modelling, feature engineering, and model validation with a strong emphasis on production-quality software and scalable systems.

Formación

• Degree in a quantitative field (e.g. Mathematics, Physics, CS, ML)
• 2–3 years of professional ML in production
• Proficient in Python
• Experience with MongoDB, SQL and Shell scripting
• Solid software architecture and production-quality development practices
• Experience with Docker and CI/CD in DevOps/MLOps environments
• Strong ML knowledge incl. supervised/unsupervised learning
• Hands-on with time-series modelling and analysis
• Ability to analyse complex systems and communicate results clearly
• Experience in fast-paced trading environments is a plus

Responsabilidades

• Develop quantitative and ML models for algorithmic trading in European power markets
• Build models across data prep, feature engineering, training, validation and deployment
• Design indicators, signals and features to improve models
• Analyze large datasets to identify patterns and trading signals
• Back-test, validate and monitor model performance in live environments
• Collaborate with traders and tech teams to productionize models
• Contribute to broader modelling and optimization topics within the team

Conocimientos

Python

Machine learning

Time-series modelling

Data analysis

Communication

Educación

Master's or PhD in quantitative field

Herramientas

MongoDB

SQL

Shell scripting

Docker

CI/CD pipelines

Jira

Asana

Monday.com

Descripción del empleo

TotalEnergies is seeking a Quantitative / Machine Learning Engineer to join its Algorithmic Trading team in Geneva. You will develop models for energy trading across European power markets, moving from research to live deployment, collaborating with quants, traders and IT specialists.

You will work on time-series modelling, feature engineering, and model validation with a strong emphasis on production-quality software and scalable systems.