Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Essen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop quantitative trading strategies and build predictive models for price forecasting and asset availability optimization, while collaborating closely with traders and communicating results effectively.
Job Technologies
Your role in the team
- 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/optimization relevant to energy trading.
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Our expectations of you
Qualifications
- MSc or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, Operations Research, or a related quantitative field.
- Proven track record of developing and deploying IT/data-driven solutions that directly support trading decisions or automated dispatch using MLOps tooling and CI/CD for model deployment.
- 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.
- 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.
Experience
- 10+ years of professional experience applying data science or quantitative modelling in an energy trading, energy tech, or commodity trading environment.
- 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.
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What we offer
- E.ON is united in working on the most exciting issue that our generation needs to solve: climate change! With all our employees and customers, we are a global community of innovators and changemakers, all with the belief that each one of us can make a difference for our environment, for our society and for our children - We shape the future.
- Flexibility: hybrid work model, flexible working hours allowing great compatibility with your studies.
- Flat hierarchies: interdisciplinary and very cooperative working style providing room for own ideas.
- Career entry: Find out about our job vacancies first-hand and make valuable contacts - we promote our young talents.
- Modern work environment: workplace according to digital and ergonomic standards.
- Personal growth: lifelong independent learning utilizing a wide range of opportunities, working with the latest technology and state-of-the-art training.
- Nutrition & Health: wide selection of fresh meals and drinks in our subsidized bistro and canteen as well as various health offers (e.g. physiotherapy, flu vaccinations, mental health).
- A central location: very good public transport connection, free parking and charging points for e-vehicles.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
- 🏖️Workation
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- ⏸Educational Leave/Sabbatical
- 🏠Home Office
- ⏰Flexible Working Hours
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
E.ON
At E.ON, we are committed to making the energy world more efficient and intelligent. Through innovative customer solutions and unique energy networks, we can improve the quality of life for people around the world. Our headquarters is in Essen, from where we coordinate our international activity.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.3
Culture
3.5Workingconditions
4.0Career Growth
3.2Engineering
2.7
Data Scientist - Flex Trading Strategy Development
- Location
- Essen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
