Senior Data Scientist - Trading (d/f/m)

Das ist der Job

You don’t need 100% of the listed requirements to apply.

Darum lohnt es sich

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 Your Profile 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, 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.

Benefits Virtual Share Options: We offer virtual share options to all our employees Professional Development: Annual development budget of 3,000 € for coachings, trainings, books, etc Health & Sport Subsidy: Company subsidised sports facilities membership or Public Transportation Subsidy: Monthly subsidy for your public transport ticket Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers Work Equipment: MacBook, an ergonomic workplace setup, and company‑funded access to leading AI development tools so you always have the best tools available Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.

Your Contact in our People Team If you have any questions, feel free to send an email to talent@flexa.energy We are looking forward to receiving your application! #J-18808-Ljbffr Short Facts 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 Responsibilities 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.

Skills to Set You Apart 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) At Flexa, we are committed to diversity — of backgrounds and experiences.