Data Scientist - Flex Trading Strategy Development (f/m/d)
Location: Essen, North Rhine-Westphalia, Germany
Applications can only be submitted online via our portal. Please understand that we cannot consider applications that reach us by e-mail.
Job description
Key Responsibilities
- Take ownership of the development and optimisation of quantitative trading strategies for dispatching flexible assets across intraday, day-ahead, balancing, and ancillary service markets.
- Build in collaboration with other teams predictive models for price forecasting, asset availability, imbalance signals, and market spread identification to improve bidding and scheduling decisions.
- Own the trading strategy roadmap, identify, prioritise, and deliver new features and model improvements in iterative cycles aligned with business value.
- Collaborate closely with traders to validate hypotheses, back-test strategies against real P&L, and incorporate trader intuition into model design.
- Scale strategies across geographies and asset classes, adapting to local market rules, grid codes, and asset-specific technical constraints (e.g., degradation, ramp rates, state-of-charge).
- Design and maintain robust data pipelines that feed real-time and historical market, weather, and asset data into modelling and decision engines.
- Monitor live strategy performance, detect drift or anomalies, and implement rapid feedback loops for continuous improvement.
- Communicate results clearly to both technical and non-technical stakeholders, translate complex model outputs into trading insights and strategic recommendations.
- Stay current with developments, and state-of-the-art methods in ML/optimisation relevant to energy trading.
Your Profile
- MSc or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, Operations Research, or a related quantitative field.
- 3+ years of professional experience applying data science or quantitative modelling in an energy trading, energy tech, or commodity trading environment.
- Deep understanding of European electricity markets (EPEX, Nord Pool, or equivalent) including day-ahead, intraday continuous, and balancing mechanisms.
- Excellent programming skills in Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar); SQL and cloud-based data platforms.
- Experience with reinforcement learning, Bayesian methods, or time-series deep learning (LSTMs, Transformers) in a trading context.
- Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset scheduling or portfolio optimisation.
- Excellent communication skills: you can explain a complex model to a trader at 7 AM and defend your methodology in a technical review at 3 PM.
- Autonomous and self-driven: you take ownership of your roadmap items, push them forward without constant guidance, and know when to escalate.
- Strong team player: you thrive in a fast-paced, collaborative environment where traders, developers, and data scientists sit side by side.
Inclusion
It is important to us that people with disabilities have access to a fair application process, providing them with an opportunity to shine. Therefore, our representative body for severely disabled people will be included in the process from an early stage. Please let us know via the application form if you require technical or organisational adjustments during the application process. We will strive to make the required aids available.
Should you not be able to apply online and want to speak someone in person, please contact your local recruiter.
What else you should know:
Type of contract:
Permanent contract
Employment type:
Full or part time
Work Model:
Hybrid
Company:
E.ON Energy Markets GmbH
Job number:
245210
As long as the position is advertised on our careers page, we are looking for suitable candidates (f/m/d). We look forward to receiving your application!
Star icon Share Toggle share menu Toggle share menu
Rightly seen: we have received multiple awards as an employer!
We are delighted to have received several employer awards that reflect our commitment to a positive, diverse and fair working culture. Get to know us and discover why our employees enjoy working for us.
https://www.kununu.com/de/eon
