Stellenbeschreibung
Working Student - Quantitative Support in Energy & Commodity Trading (m/f/d)
Join our team as a Working Student and contribute to enhancing FORRS' quantitative platform for asset optimization in power markets.
Your Challenges
- Implement and support migration of flexibility optimisation approaches to the production environment.
- Assist in the design and implementation of trading dashboards in FORRS' execution platform.
- Work with historical and real-time electricity market data to develop and refine existing forecasting models.
- Support in the development of alternative approaches to derive the hourly price forward curve for power.
- Provide quantitative support for research and marketing activities.
- Documentation.
Your Profile
- Currently enrolled in a Master's program in fields such as Applied Mathematics, Physics, Electrical Engineering, Computer Science, Data Science, or related discipline.
- Programming experience in Python (e.g., NumPy, Pandas, SciPy, Scikit-learn, Pyomo) and familiarity with Git.
- Familiarity with optimization techniques.
- Experience with time-series forecasting or machine learning models is a plus.
- Knowledge of energy systems, electricity markets, or battery technologies is an advantage.
- Team player with good communication skills and a proactive attitude.
- Business fluent in written and spoken German and English.
- Availability of more than 6 months.
Our Offer
- Diverse and exciting tasks in a fast-growing company with creative freedom.
- Flat hierarchies and short decision-making processes.
- Independent work and individual contribution explicitly desired and highly valued.
- Hybrid work model: flexible mix of home office and on-site work in Munich (50%/50%).
