Meteorologist
Hybrid · London, England, United Kingdom
Job Summary
Meteorologist sought to support proprietary trading by translating weather data into actionable trading insights. Responsibilities include delivering daily operational weather analysis, interpreting weather patterns and their impact on energy markets, developing and backtesting quantitative meteorological models, building and maintaining data pipelines from multiple sources, and creating dashboards/tools for traders to interact with weather data in real time. The role requires strong meteorology and quantitative skills, Python programming, experience with large datasets, ability to communicate weather insights effectively, collaboration across teams, and a genuine interest in renewable energy markets. Eligible applicants must be able to obtain security clearance.
Required Qualifications
- 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 with advanced statistical & machine learning skills
- Highly collaborative and reliable with excellent communication skills
- 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
- Eligibility for security clearance and authorisation
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