TotalEnergies Gas and Power is the trading arm of TotalEnergies in the field of low‑carbon energies—primarily gas, LNG, and power—and operates within fast‑evolving market dynamics shaped by both internal and external factors. The trading environment is characterized by uncertainties such as price volatility and supply‑and‑demand imbalances, which are further compounded by broader energy‑sector challenges including climate‑policy developments, shifts in the energy mix, and the emergence of new energy sources. In this context, trading plays a critical role in supporting growth and profitability across a key segment of the business, contributing directly to the company’s objective of achieving Carbon Neutrality by 2050

• Analyze multiple global and regional weather models to forecast the evolution of weather variables affecting the energy market across various time horizons (15‑day, sub‑seasonal, and seasonal), with a focus on U.S. markets such as ERCOT, CAISO, and PJM.
• Provide clear, concise, and independent daily weather briefings to U.S. energy traders and portfolio managers through multiple communication channels.
• Develop strong working relationships with trading teams and offer real‑time support as market conditions evolve.
• Produce and distribute regular reports on weather events with potential impacts on energy markets or the TotalEnergies portfolio.
• Execute data‑driven projects using large weather and energy datasets in close collaboration with the MATS team in Geneva.
• Contribute to the development of internal digital tools that surface weather‑related insights relevant to energy trading.
• Support the roadmap for future model and tool enhancements by anticipating business needs and identifying improvement opportunities.
• Assist in managing weather‑related data in partnership with IT teams to ensure reliability and accessibility.
• Stay current with the latest commercially relevant weather research and provide informed guidance to stakeholders.
• Strengthen weather literacy across TGP by organizing regular sessions on key weather and climate concepts.

Job Dimension:

• Purpose — Within the Modelling and Analysis for Trading Strategies (MATS) department, the Weather Modeling & Analysis team provides insight into how weather—both observed and forecasted—affects the markets traded by TotalEnergies Gas and Power (TGP). The team develops models to forecast weather impacts on load, renewable generation, and short‑term prices, supporting the pricing and risk management of TGP’s financial and physical assets, including CCGT, renewables, and BESS.
• Objectives — Operating with a high degree of autonomy, the MATS team delivers interpretation, advisory, and analytical support to all TGP trading desks and senior management, including COMEX members, helping shape trading strategies and guide investment decisions.
• Impact — The role collaborates closely with trading desks and stakeholders across the organization to identify opportunities where weather modeling can enhance market positioning. This requires deep analytical capability, strategic thinking, and the ability to solve complex, unique problems.
• Environment — The team works in close partnership with other MATS groups, fostering a culture of knowledge sharing and cross‑functional expertise. Collaborating teams include gas‑market specialists, power‑market experts, and ML/AI experts within TGP. MATS operates across multiple locations, including Geneva, Houston, and Singapore.
• Location — The position is based in Houston.

Accountabilities:

• Deliver independent, high‑quality weather forecasts and impact analyses for U.S. energy markets across short‑term, sub‑seasonal, and seasonal time horizons.
• Communicate actionable insights and provide real‑time support to traders, portfolio managers, and internal teams through clear briefings and well‑structured reports.
• Develop and enhance weather‑analytics capabilities through data‑science initiatives, digital‑tool development, research monitoring, and cross‑team collaboration.

• Advanced academic background — You hold a PhD, Master’s degree, or equivalent qualification in meteorology, physics, mathematics, or a related field.
• Weather‑model expertise — You have a deep understanding of major weather models (IFS, UKMO, GFS, AIFS, etc.) and strong knowledge of their respective strengths and limitations.
• Operational forecasting experience — You bring 2–4 years of hands‑on experience in operational weather forecasting.
• Teleconnection and dataset knowledge — You possess solid knowledge of teleconnection indexes (NAO, IOD, PDO, PNA) and weather‑related datasets such as ERA‑5 and ECMWF hindcasts.
• Python programming proficiency — You have advanced Python skills (pandas, xarray, cartopy, etc.) and experience working with GRIB and netCDF weather‑model outputs.
• Machine learning exposure — Experience with machine learning techniques is considered a strong advantage.
• Energy‑market understanding — You have a solid understanding of how weather patterns influence the U.S. energy market.
• Clear communication skills — You can explain complex issues and present them in a clear, structured, and concise manner.
• Language proficiency — You are fluent in English, and knowledge of French is an additional asset.
• Cross‑functional collaboration — You have experience working in collaborative, cross‑functional environments with exposure to trading, strategy, or risk teams.
• Strong presentation ability — You consistently communicate complex information in a clear and concise way.