Senior Data Scientist - Trading; d​/f​/m

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

• Research, develop, and product ionise 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:
  Mac Book, 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.

If you have any questions, feel free to send an email to talentrgy

We are looking forward to receiving your application!