Power Trading Analytics Analyst

TotalEnergies Group; Houston (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

TotalEnergies Gas & Power North America, Inc. is seeking a highly analytical Power Trading Analyst to contribute to trading strategy, risk modeling, and portfolio optimization through quantitative analysis, dashboard development, and automation in Python, SQL, and Excel.

The role emphasizes building insights, cross-functional collaboration with Front Office, Middle Office, data management, finance and IT, and delivering decision-ready analyses.

Qualifications

• PhD or master's degree in a quantitative discipline.
• At least 5 years of relevant experience in power trading or risk.
• Strong quantitative and analytical capabilities with Python and SQL; Databricks/Power BI/Streamlit/Dash a plus.
• Solid knowledge of U.S. power markets; PPAs experience preferred.
• Excellent communication and teamwork under time pressure.

Responsibilities

• Conduct ex-post performance analyses of renewables and power portfolios.
• Evaluate profitability drivers and opportunities across technologies and markets.
• Provide insights to traders and portfolio managers to maximize value.
• Develop reporting tools, dashboards, and KPIs to support decisions.
• Build analytical tools in Python, SQL, and Excel to automate reporting.
• Assess portfolio risk, hedging strategies, and risk-adjusted returns.
• Collaborate with Front/Mid Office, data management, finance and IT.

Skills

Quantitative analysis

Python

SQL

Data analysis

Communication

Teamwork

Education

Master's degree in quantitative field

PhD in quantitative discipline

Tools

Databricks

Power BI

Streamlit

Dash

Excel

Job description

TotalEnergies Gas & Power North America, Inc. is seeking a highly analytical Power Trading Analyst to contribute to trading strategy, risk modeling, and portfolio optimization through quantitative analysis, dashboard development, and automation in Python, SQL, and Excel.

The role emphasizes building insights, cross-functional collaboration with Front Office, Middle Office, data management, finance and IT, and delivering decision-ready analyses.