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Partner - Global Recruitment at Radley James
We are recruiting for a successful global commodities trading business that covers the full spectrum from the core original products all the way through to renewables. They have been very established in Europe for many years but are growing businesses around the world. In London, they are looking for a Weather Strategist to join a small young team that incorporates modelling and weather specialist skill set to drive quantitative trading strategies. There is successful team collaboration in order to generate unique insights along with significantly using weather and power market data. Experience Requirements:
Experience of working with large weather data sets. Experience with ensemble forecast verification, knowledge about the strengths and weaknesses of ensemble predictions. Exposure to ECMWF forecasts and other predictions of atmospheric variability from sub-seasonal to seasonal ensemble forecast data. Good interest in short-term energy markets, renewable energy, algorithms, and data science. Good interest to contribute to the energy transition and work for the largest producer of renewable energy in Europe. Seniority Level
Mid-Senior level Employment Type
Full-time Job Function
Research and Finance
#J-18808-Ljbffr
We are recruiting for a successful global commodities trading business that covers the full spectrum from the core original products all the way through to renewables. They have been very established in Europe for many years but are growing businesses around the world. In London, they are looking for a Weather Strategist to join a small young team that incorporates modelling and weather specialist skill set to drive quantitative trading strategies. There is successful team collaboration in order to generate unique insights along with significantly using weather and power market data. Experience Requirements:
Experience of working with large weather data sets. Experience with ensemble forecast verification, knowledge about the strengths and weaknesses of ensemble predictions. Exposure to ECMWF forecasts and other predictions of atmospheric variability from sub-seasonal to seasonal ensemble forecast data. Good interest in short-term energy markets, renewable energy, algorithms, and data science. Good interest to contribute to the energy transition and work for the largest producer of renewable energy in Europe. Seniority Level
Mid-Senior level Employment Type
Full-time Job Function
Research and Finance
#J-18808-Ljbffr
