Job Description
- Location: Munich, Germany • Employment Type: Full-Time, indefinite term • Salary Range: € 95,000 – 115,000 per year gross, depending on seniority level • Office First work setup • Language Requirement: C1 Level English Your Role We are looking for a Quantitative Developer to tackle the software, data, and integration challenges across our Virtual Power Plant (VPP) ecosystem. You will drive and own the roadmap for developing algorithmic execution strategies in the German intraday power market. As our VPP infrastructure matures, you will steadily increase your focus on research on execution-price improvement and market-impact modelling. Your software-engineering work will centre on architecture design, testing, and project coordination. 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 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 Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem 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 Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback Mandatory Requirements University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline) 5+ years applied data science and/or quant experience, with significant time spent developing trading algorithms in the energy or financial sectors Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders 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 Excellent English communication and interpersonal skills 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. Skills to Set You Apart Experience designing or owning real-time or near-real-time analytics workflows 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 Proven track record of taking models from research into reliable production on AWS (or comparable cloud) At Flexa, we are committed to diversity — of backgrounds and experiences. You don’t need 100% of the listed requirements to apply.