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# Senior Data Scientist - Trading

- **Company:** Flexa
- **Location:** München, Germany
- **Experience:** Expert
- **Salary:** €95,000.0 - €115,000.0
- **Contract:** Permanent contract
- **Skills:** Algorithmic Trading, Amazon Web Services, Software Quality, Code Review, Continuous Integration, Python (Programming Language), Machine Learning, Software Deployment, Information Technology, Data Analytics
- **Published:** June 3, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=cfcd9d9e3152285a

## About the Role

Do you have experience in Research?, University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline)

 * 5+ years applied data science, with significant time spent developing trading algorithms in the energy or financial sectors
 * Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy
 * Strong knowledge of probability and statistics, incl. time-series data processing, analysis, and forecasting, with a focus on streaming settings
 * Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design
 * Excellent English communication and interpersonal skills
 * Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders
 * Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential., * Direct experience with energy trading, especially for the flexibility of battery storage systems
 * Expertise in designing algorithmic trading strategies and modelling market impact within intraday continuous markets
 * Substantial background in forecasting intraday price movements, modelling order book dynamics, and market microstructure
 * Experience with both Machine Learning and mathematical optimization development
 * Experience designing or owning real-time or near-real-time analytics workflows
 * Proven track record of taking models from research into reliable production on AWS (or comparable cloud)

## Description

* Research, develop, and productionise algorithms and models that optimise financial returns from trading the flexibility of Flexa's residential battery portfolio
 * Drive the delivery of complex, trading strategy projects from research to production deployment and monitoring - anticipating dependencies and resolving them early
 * Contribute to the technical vision for how Flexa trades flexibility across energy markets and hardware assets, and help make it a reality
 * Identify new market opportunities and residential flexibility value to shape the data science roadmap and next-gen algorithms
 * 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 our real-time production systems
 * Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback
 * Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem


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