At a Glance
- Tasks: Analyse weather data to drive energy trading decisions and develop predictive models.
- Company: Join Statkraft, a leading renewable energy company committed to sustainability.
- Benefits: Unlimited learning opportunities, career growth, and a chance to save the planet.
- Other info: Collaborative environment with a global network of experts and a focus on safety.
- Why this job: Make a real impact in energy markets while working with cutting-edge meteorological technology.
- Qualifications: Degree in relevant field and strong programming skills in Python.
The predicted salary is between 50000 - 70000 £ per year.
Statkraft is a renewable energy company dedicated to clean energy for over a century. 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.
Responsibilities
- 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, and 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.
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 of 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.
- Experience working with large datasets and building and maintaining data pipelines.
- Experience and willingness to interpret and present weather forecasts; strong presentation skills.
- Highly analytical, data-driven individual with advanced statistical and machine learning skills.
- Highly collaborative and reliable person, excellent communication skills, team player.
- Interest in working for a renewable-energy company and contributing to the energy transition.
- Strong commercial mindset and high level of initiative and self-motivation.
Benefits
- Unlimited learning opportunities at various levels of the organisation including LinkedIn Learning and inspiring leadership programmes.
- 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 contribute 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. The applicant must be eligible for security clearance and authorisation.
Meteorologist employer: Statkraft
Statkraft is an exceptional employer, offering a dynamic work culture that fosters continuous learning and professional growth in the renewable energy sector. As a Meteorologist in London, you will have the unique opportunity to collaborate with a global network of experts while contributing to meaningful projects that support the energy transition. With competitive benefits and a strong commitment to employee safety, Statkraft is dedicated to creating a rewarding and impactful workplace for all its team members.
