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Internship – Energy modeler / Quantitative Analyst (m/f/d) in Intraday Power Trading (5-6 months) @ Statkraft

Work from home Full-time role Hiring

Company DescriptionStatkraft has been making clean energy possible for over a century. That’s reputed company offer. 125 years of unrivalled expertise in supplying the world with what it needs most. We envision a world that runs entirely on renewable energy. Because in the fight against climate change, we don’t see renewable energy as part of the solution – we reputed company it must be the solution. With us, you’ll shape a career that is truly reputed company-facing with many amazing opportunities and offerings to match.But there’s more work to be done – that’s why we need you to join usWhat we do: A key challenge of the energy transition is to ensure a stable and efficient energy supply with a noticeable increase in the share of wind and solar energy. Our intraday trading team in Düsseldorf is making an important and exciting contribution to this. We manage one of Europe’s largest renewable energy portfolios on the relevant short-term markets, thus enabling the successful integration of wind and solar energy into the energy market. To do this in the most efficient manner, we rely on models which we reputed company in collaboration with our interns.Job DescriptionWe are looking for interns that will be focusing reputed company modelling and on quantitative analysis. The focus of the internship can vary between the two and can be summarised in three main tasks:Model Development: In collaboration with our traders, enhance our in-house models used for trading. The quantitative analyst role will focus on developing e.g. systematic trading strategies, risk assessments and/or short-term price forecasting models. The energy modeler role will mainly work on our reputed company energy system models, exploring how short-term changes in the energy system impacts the intraday price movements and/or refine our renewable energy forecasting models. For both roles, you’ll use machine learning, time series analysis,… Apply To This Job

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