
Posted a day ago
Senior Data Scientist - Trading
Flexa GmbHSenior Data Scientist - Trading
Perks & benefits
Mobile AllowanceHealth InsuranceEducation AllowanceTransportationVisaPaid Leave
Requirements
University degree in quantitative discipline, 5+ years applied data science, Experience developing trading algorithms, Deep understanding of trading mechanics, Strong knowledge of probability and statistics, Proficiency in Python, Software engineering practices
Skills
PythonMachine LearningAWS
About the role
Responsibilities
- Research, develop, and productionise algorithms and models to optimise financial returns from trading residential battery portfolio flexibility
- Drive the delivery of complex trading strategy projects from research to production deployment and monitoring
- Contribute to the technical vision for how Flexa trades flexibility across energy markets and hardware assets
- Identify new market opportunities and residential flexibility value to shape the data science roadmap
- Champion engineering rigor and ML best practices to foster an open, data-driven engineering culture
- Implement, deliver, and monitor well-engineered, data-driven solutions in real-time production systems
- Guide and develop junior colleagues through design reviews, code reviews, and structured feedback
Requirements
- University degree in a quantitative discipline (Computer Science, Mathematics, Physics, Statistics, or related)
- 5+ years of applied data science experience, specifically developing trading algorithms in energy or financial sectors
- Deep understanding of trading mechanics, including price formation, market microstructure, and risk
- Strong knowledge of probability and statistics, including time-series data processing and forecasting
- Proficiency in Python and software engineering practices (testing, CI/CD, monitoring, and modular design)
- Excellent English communication skills and a cross-functional collaboration mindset
Preferred Qualifications
- Direct experience with energy trading, particularly for battery storage systems
- Expertise in designing algorithmic trading strategies and modelling market impact in intraday markets
- Background in forecasting intraday price movements and modelling order book dynamics
- Experience with both Machine Learning and mathematical optimization development
- Proven track record of deploying models into production on AWS or similar cloud environments
Benefits
- Virtual Share Options for all employees
- Annual professional development budget of 3,000 €
- Health and sport subsidy or public transportation subsidy
- Digital meal vouchers for lunch and dinner
- High-quality work equipment including MacBook and ergonomic setup
- Regular team events, knowledge sessions, and offsites
About the Company
Flexa is a Joint Venture between Enpal and Entrix, dedicated to delivering a Virtual Power Plant (VPP) that supports the transition to a 100% renewable electricity future. By integrating residential energy assets like EV chargers, heat pumps, and home storage, Flexa maximizes usable flexibility and optimizes returns on energy markets.
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Flexa GmbH · Munich
