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Senior Data Scientist - Flex Trading Strategy Development(m/w/x)
Developing quantitative trading strategies for European electricity markets, predicting prices and asset availability. 10+ years of energy trading experience required. Hybrid work, flexible hours, cooperative style.
Requirements
- MSc or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, Operations Research, or related quantitative field
- 10+ years of professional experience in energy trading, energy tech, or commodity trading environment
- Proven track record of developing and deploying IT/data-driven solutions for trading decisions or automated dispatch using MLOps and CI/CD
- Deep understanding of European electricity markets (EPEX, Nord Pool, or equivalent)
- Excellent programming skills in Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar)
- Excellent programming skills in SQL
- Excellent programming skills in cloud-based data platforms
- Experience with reinforcement learning, Bayesian methods, or time-series deep learning in a trading context
- Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset scheduling or portfolio optimisation
- Excellent communication skills for explaining complex models and defending methodology
- Autonomous and self-driven with ownership of roadmap items
- Strong team player in a fast-paced, collaborative environment
Tasks
- Develop and optimize quantitative trading strategies
- Predict prices, asset availability, imbalance signals, and market spreads
- Own the trading strategy roadmap
- Identify and prioritize new features and model improvements
- Collaborate with traders to validate hypotheses and back-test strategies
- Incorporate trader intuition into model design
- Scale strategies across geographies and asset classes
- Adapt to local market rules, grid codes, and asset-specific constraints
- Design and maintain robust data pipelines
- Feed real-time and historical market, weather, and asset data
- Monitor live strategy performance
- Detect and address drift or anomalies
- Implement rapid feedback loops for continuous improvement
- Communicate results to technical and non-technical stakeholders
- Translate complex model outputs into trading insights
- Stay current with ML and optimization developments
Work Experience
- 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- NumPy
- scikit-learn
- LightGBM
- XGBoost
- SQL
- MLOps
- CI/CD
- reinforcement learning
- Bayesian methods
- time-series deep learning
- LSTMs
- Transformers
- LP
- MILP
- stochastic optimisation
Benefits
Flexible Working
- Hybrid work model
- Flexible working times
Other Benefits
- Compatibility with studies
- Early access to job vacancies
- Valuable contacts
Informal Culture
- Flat hierarchies
- Cooperative working style
Purpose-Driven Work
- Room for own ideas
Career Advancement
- Promotion of young talent
Modern Office
- Modern work environment
Ergonomic Workplace
- Digital and ergonomic workplace
Learning & Development
- Life-long independent learning
- State-of-the-art trainings
Diverse Work
- Broad range of opportunities
Modern Equipment
- Newest technology
Free or Subsidized Food
- Subsidized bistro and canteen
- Fresh meals and drinks
Healthcare & Fitness
- Physiotherapy
- Flu vaccinations
Mental Health Support
- Mental health support
Parking & Commuter Benefits
- Central location
- Good public transport connection
- Free parking
- E-vehicle charging points
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Senior Data Scientist - Flex Trading Strategy Development(m/w/x)
Developing quantitative trading strategies for European electricity markets, predicting prices and asset availability. 10+ years of energy trading experience required. Hybrid work, flexible hours, cooperative style.
Requirements
- MSc or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, Operations Research, or related quantitative field
- 10+ years of professional experience in energy trading, energy tech, or commodity trading environment
- Proven track record of developing and deploying IT/data-driven solutions for trading decisions or automated dispatch using MLOps and CI/CD
- Deep understanding of European electricity markets (EPEX, Nord Pool, or equivalent)
- Excellent programming skills in Python (pandas, NumPy, scikit-learn, LightGBM/XGBoost, or similar)
- Excellent programming skills in SQL
- Excellent programming skills in cloud-based data platforms
- Experience with reinforcement learning, Bayesian methods, or time-series deep learning in a trading context
- Strong experience with optimisation techniques (LP/MILP, stochastic optimisation) applied to asset scheduling or portfolio optimisation
- Excellent communication skills for explaining complex models and defending methodology
- Autonomous and self-driven with ownership of roadmap items
- Strong team player in a fast-paced, collaborative environment
Tasks
- Develop and optimize quantitative trading strategies
- Predict prices, asset availability, imbalance signals, and market spreads
- Own the trading strategy roadmap
- Identify and prioritize new features and model improvements
- Collaborate with traders to validate hypotheses and back-test strategies
- Incorporate trader intuition into model design
- Scale strategies across geographies and asset classes
- Adapt to local market rules, grid codes, and asset-specific constraints
- Design and maintain robust data pipelines
- Feed real-time and historical market, weather, and asset data
- Monitor live strategy performance
- Detect and address drift or anomalies
- Implement rapid feedback loops for continuous improvement
- Communicate results to technical and non-technical stakeholders
- Translate complex model outputs into trading insights
- Stay current with ML and optimization developments
Work Experience
- 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- NumPy
- scikit-learn
- LightGBM
- XGBoost
- SQL
- MLOps
- CI/CD
- reinforcement learning
- Bayesian methods
- time-series deep learning
- LSTMs
- Transformers
- LP
- MILP
- stochastic optimisation
Benefits
Flexible Working
- Hybrid work model
- Flexible working times
Other Benefits
- Compatibility with studies
- Early access to job vacancies
- Valuable contacts
Informal Culture
- Flat hierarchies
- Cooperative working style
Purpose-Driven Work
- Room for own ideas
Career Advancement
- Promotion of young talent
Modern Office
- Modern work environment
Ergonomic Workplace
- Digital and ergonomic workplace
Learning & Development
- Life-long independent learning
- State-of-the-art trainings
Diverse Work
- Broad range of opportunities
Modern Equipment
- Newest technology
Free or Subsidized Food
- Subsidized bistro and canteen
- Fresh meals and drinks
Healthcare & Fitness
- Physiotherapy
- Flu vaccinations
Mental Health Support
- Mental health support
Parking & Commuter Benefits
- Central location
- Good public transport connection
- Free parking
- E-vehicle charging points
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
E.ON Energy Markets GmbH
Industry
Other
Description
The company bundles access to trading markets for E.ON's regional units and provides risk management and data processing services.
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