European Power Markets Quantitative Analyst

TotalEnergies Group; Switzerland; On-site; CHF 120,000 - 180,000; Full time

Job summary

TotalEnergies Group in Geneva seeks a commercially focused power markets analyst to join the trading desk. You will combine market fundamentals, models and data to deliver timely insights, identify opportunities and support trading decisions.

You will develop forecasting frameworks, market views and dashboards, work with IT and data teams, and translate analysis into actionable trading signals while maintaining risk awareness.

Qualifications

• Master’s degree or higher in a quantitative field.
• 3–5 years’ experience in European power markets, ideally on or alongside a trading floor.
• Strong knowledge of power fundamentals, price formation and market modelling.
• Turn analysis into actionable trading insights and confidently engage with traders.
• Advanced Python, data analysis and modelling skills, with experience in cloud development.
• Familiar with AWS, Databricks, machine learning and/or AI technologies.
• Fluent in English; French is a plus.

Responsibilities

• Operate and maintain the in-house European power fundamental forecasting framework.
• Develop and communicate short- and medium-term market views across European power markets.
• Generate and back-test trading ideas and strategies from quantitative models.
• Develop high-impact analytical tools, dashboards and quantitative research.
• Contribute to automation of analytical workflows with IT and data teams.

Skills

Python

Data analysis

Modelling

Cloud development

English language

Education

Master’s degree or higher in a quantitative field

Tools

AWS

Databricks

Machine learning / AI

Job description

TotalEnergies Group in Geneva seeks a commercially focused power markets analyst to join the trading desk. You will combine market fundamentals, models and data to deliver timely insights, identify opportunities and support trading decisions.

You will develop forecasting frameworks, market views and dashboards, work with IT and data teams, and translate analysis into actionable trading signals while maintaining risk awareness.