GENEVE, Switzerland
6 days ago
Junior Meteorologist - Energy Trading
Country Switzerland City GENEVE Workplace location GENEVE-WTC1(CHE) Employer company TotalEnergies Gas & Power Ltd Domain Strategy Economics Business Type of contract Regular position Experience Less than 3 years Context & Environment

The Quantitative and Trading Analysis (Q&TA) team aims at providing a better understanding of the gas, LNG, power and emissions markets traded by TotalEnergies Gas and Power (TGP) in terms of prices and fundamentals, finding ways to model and forecast their dynamics and dealing with complex issues requiring a quantitative approach (pricing, hedging and simulations of complex products, transactions or assets).  

In a context of great autonomy, the Q&TA team contributes interpretation, advisory and support to all TGP trading desks and to senior management - including COMEX members - and helps them define trading strategies and take investment decisions.

You will be part of the Quantitative & Trading Analysis team under the supervision of the Quantitative Meteorologist. 

The Quantitative Meteorologist is setting up, maintaining and delivering reliable forecasting services for energy traders to explain market moves and forecast future evolution

The Quantitative Meteorologist develops internal tools/models to extract valuable weather information for the needs of power and gas traders.

The Quantitative Meteorologist analyses all weather variables with a potential impact on energy markets: a high focus is on the forecast of energy consumption and renewable (solar, wind, hydro) production in Europe. Requests from other regions are also possible (eastern Asia, Australia, etc.).

Activities

You will be part of the Quantitative & Trading Analysis team (Q&TA) and will report to the Quantitative Meteorologist. You will perform your job on the trading floor, with potential contacts with Houston and Singapore based teams and with Paris headquarter.


What you will do

 

Analyse global/regional weather models for forecasting future evolution of weather variables impacting the energy market at different time scales (15-day, sub-seasonal and seasonal) and for different markets (Europe, Asia, US)Provide clear and concise weather briefings every morning to energy traders alongside the lead Quantitative Meteorologist who will guarantee training and coaching.Carry out projects combining advanced machine learning methods with large weather and energy datasets in close collaboration with data scientists and IT teams. Participate to the development of internal digital tools to expose results relevant for energy tradingContribute to the roadmap for future evolution of models and tools anticipating business needs. Take ongoing responsibility for business impact of these models.Develop and promote weather knowledge among TGP teams by organizing regular meetings on different key concepts of weather/climate.

 

Accountabilities

 

Provide in-depth analysis to identify and anticipate weather impact on LNG, gas, power and other related markets and on shipping. Help build and communicate a global view of energy marketsEnhance TGP ability to leverage data in order to optimise assets/portfolios and help generate additional value for the Company by influencing trading decisionsReply promptly and reactively to business needs and requests from traders and managementProvide support to the teams on any topics involving analysis and modelling of weather data sets Candidate Profile You are graduated from a Master’s degree or equivalent in meteorology, physics, mathematics, etc.You have a minimum of 2 years of professional experience in your field. You have a deep understanding of weather models, teleconnection indexes and weather-related datasets Having acquired a first operational experience is weather forecasting would be seen as a strong advantageHaving a good understanding of weather impacts on the European energy market is an advantage.You have advanced programming skills (ideally solid knowledge of Python) with abilities to work with weather model outputs (GRIB, netCDF files, etc.)Desirably expertise in Machine LearningYou should be able to explain complex issues and present them in a clear and neat manner.You are fluent in English – knowledge of French is an advantage.

 

At TotalEnergies, we believe that our employees’ fulfilment has its roots in the wealth of the experiences they are offered. We are an equal opportunity employer committed to respecting diversity and inclusion in the workplace. 

Applicants will receive consideration for employment without regard for race, color, gender, religion, national origin, disability, military status, age, marital status, sexual orientation, gender identity, genetic information or any other protected group status.

 

Additional Information TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.
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