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
As a leading player in the renewable energy sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With opportunities for professional growth and development, particularly in the dynamic field of hydropower, our remote working model allows for flexibility while still engaging with diverse stakeholders across the UK. Join us to make a meaningful impact on sustainable energy solutions while enjoying a supportive environment that values safety and teamwork.
