Join us in this role where you’ll be responsible for developing, maintaining, and advancing our internal core fundamental model  which is central to power market price analysis and strategic decision-making in trading. You will collaborate closely with traders, revenue managers, analysts, quantitative developers,and other key specialists. Your work will leverage Market Dynamics knowledge, Mathematical Optimization, Python, Kubernetes and Airflow to deliver robust, scalable, and high-impact analytics and recommendations.

Welcome to Trading & Revenue
You’ll be part of Price Forecasting & Analysis team where you, together with your colleagues, will support the European Trading department, Strategic Portfolio and key decisions makers across Trading & Revenue. Our team consists of dedicated desk analysts and model developers with diverse backgrounds in power market analysis, engineering, and mathematical optimization.  As a team, we value flexibility, experimentation, innovation and knowledge sharing, working in virtual teams with experienced traders, revenue managers, analysts, quants, and other specialists.  We are committed to building a diverse and inclusive team. We encourage women, men, and individuals from underrepresented backgrounds to join us. 

You’ll play an important role in:

• developing, maintaining, and improving the fundamental model used for power market price analysis
• designing and implementing new model features and methodologies to follow the ever-changing power market dynamics
• collaborating with traders, analysts, quantitative model developers and other specialists to ensure model relevance and accuracy
• delivering quantitative analysis, insights, and actionable recommendations based on outputs from our fundamental model
• using Python, AI, Github, Kubernetes and Airflow for model development, data analysis, reporting and orchestration
• leveraging JupyterHub for collaborative analytics and sharing results .

To succeed in the role, you:

• have a background in quantitative development, data science, engineering, mathematics, or a related field, with strong experience in model development and power markets
• are skilled in Python and comfortable writing maintainable and scalable Python code
• have experience with time-series analysis, mathematical optimization, forecasting methods, and data visualisation
• demonstrate strong communication skills and the ability to work independently and collaboratively
• are motivated by working on energy trading and risk management challenges
• embrace continuous improvement, innovation, and knowledge sharing within respectful and supportive workplace.

Maybe you’ve read the above and can see you have some transferable skills, even though they don’t quite match all the points. If you think you can bring something to the team, we still encourage you to apply.

Shape the future with us
Send your application to us as soon as possible. We’ll be conducting interviews on a continuous basis and reserve the right to take down the advert when we’ve found the right candidate.

As an applicant or employee, you may request reasonable work and position accommodation or adjustments via accommodation@orsted.com.

Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position.