Quantitative Modeling Analyst - US Power

TotalEnergies•Houston, TX

31d

About The Position

TotalEnergies Gas and Power is the trading arm of TotalEnergies in the field of low carbon energies (mainly gas, LNG and power). As such it operates in fast-evolving market dynamics influenced by internal and external factors that require constant adaptation and evolution. Uncertainties specific to the trading environment (volatility of prices, supply & demand mismatches) are coupled with those coming from the broader energy sector (climate change policies, changes in the energy mix, developments of new energy sources, etc). In such context Trading helps to ensure growth and profitability to a key segment of the business in order to reach the objective of Carbon Neutrality by 2050. Purpose: The US Power Analysis & Modeling (PAM) team within MATS provides market insights, modeling, and forecasts to support pricing, risk management, and strategy for TGP's portfolio (CCGT, renewables, BESS). Objectives: Offer analysis and advisory to trading desks and senior management, helping shape trading strategies and investment decisions. Impact: Partner with desks and stakeholders to leverage power modeling, identify opportunities, and address complex market challenges with creative, strategic thinking. Environment: Collaborate closely with other MATS teams (gas experts, meteorologists, ML/AI specialists, long-term power analysts) in a knowledge-sharing culture. Location: Houston

Requirements

Advanced degree (Master's or PhD) in Electrical Engineering, Operations Research, Applied Mathematics, Energy Economics, or a related quantitative field.
2-3 years of experience in power market modeling, preferably using UPLAN or similar SCUC/SCED-based simulation tools.
Strong understanding of US power markets, ideally ERCOT, PJM, and CAISO, including LMP pricing, congestion management, and grid operations.
Experience with data calibration, model validation, and interpreting market outcomes.
Proficiency in Python, SQL, and version control tools (e.g., Git); familiarity with data visualization tools is a plus.
Demonstrated ability to work with data scientists and software engineers to automate and streamline modeling processes.
Excellent analytical, problem-solving, and communication skills.
Experience in collaborative, cross-functional environments with exposure to trading, strategy, or risk teams.
The ideal candidate should be able to explain complex issues and present them in a clear and concise manner.
Some travel to Geneva and/or Paris may be required.

Responsibilities

Develop, maintain, and run power market simulations using UPLAN for ERCOT, PJM, and CAISO.
Help calibrate model inputs and configurations to reflect observed market conditions, including generation dispatch, transmission constraints, and pricing dynamics.
Analyze and interpret congestion patterns, identify root causes, and explain relationships to system constraints and market behavior.
Collaborate with trading and strategy teams to provide actionable insights from model outputs.
Maintain and improve the automation of model inputs and workflows, working closely with data scientists and developers.
Ensure model outputs are accurate, timely, and well-documented for internal use.
Communicate complex modeling results and limitations to non-technical stakeholders through clear visualizations and briefings.
Stay current with regulatory changes, market design updates, and operational practices in US power markets.
Contribute to the development of internal tools and dashboards for model monitoring and reporting.
Provide analytical advice and support to asset divisions (Flexible Power, Renewables) on network modeling issues.
Provide in-depth analysis to identify current and future drivers and behaviors of the US power markets
Deliver accurate market simulations that inform trading strategies and explain congestion behavior across US ISOs
Become a subject matter expert on US nodal power markets and congestion