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E.E.ON Energy Markets GmbH

Senior Data Scientist - Flex Trading Strategy Development(m/w/x)

Essen
Full-time, Part-timeWith Home OfficeSenior

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

  • EnglishBusiness 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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of E.ON Energy Markets GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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