Trading Meteorologist – Renewables Forecasting (m/f/d) at Statkraft

Dusseldorf, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Meteorology, Renewables Forecasting, Python, Numerical Weather Models, AI/ML Tools, Data Flow Construction, Quantitative Analysis, Commercial Mindset, English Communication, Short-term Power Markets

Industry

Electric Power Generation

Description

Company Description Why Statkraft? Statkraft has been making clean energy possible for over a century. That’s what we 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 believe it must be the solution. With us, you’ll shape a career that is truly forward-facing with many amazing opportunities and offerings to match. Your department: The Cross Functional Optimisation (MEX) unit drives optimisation of Energy Management processes across business units and geographies, supporting Statkraft’s commercial strategy. MEX creates value by improving core processes and ensuring Energy Management evolves in line with market and digital developments. MEX delivers business Services such as commercial analysis, citizen development, and co-development, supporting optimisation and automated flexibility trading, intermittent production forecasting, and market access for 3rd party customers. MEX also holds business capability ownership for digital solutions in Energy Management, leading daily collaboration between M and IT and ensuring digitalisation efforts align with strategic objectives and value creation. The Renewables Forecasting Team (MEXF) owns the renewables production forecasting process end-to-end for Wind and Solar portfolios in all European markets. This includes input/output data management, forecast vendor management and creation of meta-forecasts. The team owns the quality and budget so that the highest commercial benefit is realised. Job Description The Trading Meteorologist - Renewables Forecasting will have responsibilities including but not limited to the following: Build data flows for capturing reliable weather data Create alerts based on specific weather phenomena or special events Create and improve renewables forecasts for our portfolios across Europe based on numerical weather models Lead the effort for using AI/ML tools for developing new models Provide daily weather expectations based on weather data to the intraday trading teams Help intraday and day-ahead trading teams build a meteorological understanding of trading patterns Follow academic publications and market trends and work on their implementation in the context of renewables forecasting Regularly update stakeholders on recent developments and performance evaluations Qualifications Your profile: Excellent university degree in mathematics, physics, meteorology or engineering with strong quantitative focus Several years of experience in meteorology for short-term power markets Strong analytical and investigative skills Significant modelling and programming experience preferably in Python Strong commercial mind set Proactive and independent way of working Excellent communication in English is a must Additional Information Statkraft offers: Professional and personal development in a company experiencing strong growth A positive working environment characterized by competence, responsibility and innovation A diverse workplace regarding gender, age and cultural background Competitive terms of employment and excellent benefit schemes Challenged? For us the ideas of our 450 committed and ambitious colleagues make the difference. If you want to share our passion for renewable energy and be a part of tomorrow’s energy world, please apply through our online application form on www.statkraft.com/career. Business Units: ME - Energy Management

Responsibilities

The role involves creating and improving renewables forecasts for European portfolios using numerical weather models and AI/ML tools. The candidate will provide daily weather expectations to trading teams and monitor market trends to optimize forecasting performance.