Senior Power Market Quant Analyst — Portfolio & Strategy

TotalEnergies; Houston (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

TotalEnergies is seeking a Senior Quantitative Analyst to provide market insights that drive investment and portfolio optimization decisions in the U.S. power sector. This role requires strong analytical capabilities along with effective communication skills, aiming to influence senior management on strategic outcomes.

Candidates should have a PhD or Master's degree, 5-10 years of relevant experience, and proficiency in statistical analysis and modeling tools like Python and R. Join us in promoting clean energy solutions.

Qualifications

• 5-10 years of experience in power market analysis or a similar role in the energy sector.
• In-depth knowledge of asset and portfolio modeling, including risk analysis and optimization.
• Ability to communicate complex information to both technical and non-technical stakeholders.

Responsibilities

• Provide high-impact market insights to support investment decisions, asset optimization, and portfolio management.
• Collaborate with cross-functional teams to align market analysis and modeling activities.
• Conduct in-depth analysis of power markets, including supply-demand dynamics and price trends.
• Develop models and algorithms to forecast market conditions and integration of renewable energy.

Skills

Power market analysis

Data modeling

Statistical analysis

Communication skills

Collaboration

Education

PhD or Master's degree in economics, finance, engineering, or related field

Tools

Python

R

MATLAB

BID3

Plexos

PSO

Job description

TotalEnergies is seeking a Senior Quantitative Analyst to provide market insights that drive investment and portfolio optimization decisions in the U.S. power sector. This role requires strong analytical capabilities along with effective communication skills, aiming to influence senior management on strategic outcomes.

Candidates should have a PhD or Master's degree, 5-10 years of relevant experience, and proficiency in statistical analysis and modeling tools like Python and R. Join us in promoting clean energy solutions.