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

Stellenbeschreibung:

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

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.

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

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.