Senior European Power & Gas Trader - Asset Optimisation

TOTSA TotalEnergies Trading SA; Le Grand-Saconnex; On-site; CHF 180,000 - 320,000; Full time

Job summary

TOTSA TotalEnergies Trading SA is seeking a senior candidate with a strong background in European power markets and asset-backed trading. You will develop market views, optimise asset portfolios, and work across power, gas, and emissions with a focus on risk-conscious, data-driven decision making.

You will engage with cross-functional teams to ensure compliant trading practices while driving value through sophisticated modelling and analytics.

Qualifications

• Degree in Engineering, Finance or equivalent enabling large data work.
• 7+ years of experience in European power trading.
• Strong knowledge of asset-backed trading and optimisation.
• Experience with power market design and cross-country dynamics.
• Familiarity with risk management and trading regulations.

Responsibilities

• Develop deep understanding of European power markets and price formation.
• Formulate and express market views to generate value beyond asset optimisation.
• Define and implement trading and hedging strategies across power, gas, and emissions.
• Collaborate with cross-functional teams to drive portfolio growth and dispatch decisions.
• Support real-time risk management and digitalisation of workflows.

Skills

Trading experience

Data analysis

Asset-backed trading

Risk management

Market understanding

Communication

Autonomy

Quantitative modelling

Education

Engineering/Finance degree or equivalent

Tools

Dispatch models

Option pricing models

Analytical tools

Job description

TOTSA TotalEnergies Trading SA is seeking a senior candidate with a strong background in European power markets and asset-backed trading. You will develop market views, optimise asset portfolios, and work across power, gas, and emissions with a focus on risk-conscious, data-driven decision making.

You will engage with cross-functional teams to ensure compliant trading practices while driving value through sophisticated modelling and analytics.