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Meteorologist

External
Statkraft1 logoStatkraft1 · London, UK
Full-timeOn-site3d ago
Machine LearningPythonSAFeStatistical Analysis
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Benefits

Unlimited learning opportunities at various levels of the organisation including LinkedIn Learning and inspiring leaderships program like IMD.The chance to grow your career alongside a truly global network of experts, leaders, specialists and graduates from different countries and backgrounds.The opportunity to work somewhere with pride, and to be able to honestly say "My work is contributing to saving the planet".Statkraft offers competitive terms of employment and benefits schemes, and we're a trusted employer that puts the safety of our people first. We believe that a safe and healthy working environment is a matter of choice, not chance.Statkraft manages critical infrastructure and services in several countries. The applicant must be eligible for security clearance and authorisation.Health insurance

Additional Information

We are seeking a highly technical Meteorologist to support proprietary trading activities. This role sits at the intersection of meteorology, quantitative analysis, and energy trading, with a strong focus on translating weather data into actionable trading insights. The successful candidate will combine operational meteorology expertise with advanced data engineering and quantitative skills, enabling the development of robust weather-driven models that directly influence trading strategies and PnL. Deliver daily operational weather analysis, including written summaries of key developments across relevant regions Interpret weather patterns and extreme events and assess their impact on power, gas, oil commodity markets Develop and implement quantitative meteorological models Perform statistical analysis and backtesting of weather-driven signals and their impact on market prices Work with large-scale meteorological and market datasets to extract predictive insights Design and maintain data pipelines for ingesting meteorological data from multiple sources (APIs, third-party providers, satellite data, etc.) Build dashboards and visualisation tools to communicate weather insights effectively Develop user-friendly internal tools that allow traders to interact with weather data and models in real time Continuously improve models and analysis based on market feedback and performance Degree in Meteorology, Atmospheric Science, Mathematics, Physics, Data Science, or a related quantitative field Strong interest in energy markets and data science. Experience with ensemble forecast verification, uncertainty assessment, and knowledge about the strengths and weaknesses of ensemble predictions. Experience with ECMWF operational, mid-range and weekly ensemble forecast data. Strong modelling and programming experience in Python Working with large datasets, building and maintaining data pipelines Experience and willingness to interpreting and presenting weather forecasts, presentation skills. Highly analytical, data driven individual with advanced statistical & machine learning skills. Highly collaborative and reliable person, excellent communication skills, team player. Interest to work for a renewable energy company and contribute to the energy transition. Strong commercial mindset and high level of initiative and self-motivation.

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