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

Short Facts

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Location: Munich, Germany

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Employment Type: Full-Time, indefinite term

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Salary Range: € 95,000 – 115,000 per year gross, depending on seniority level

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Office First work setup

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Language Requirement: C1 Level English

Your Responsibilities

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Research, develop, and productionise algorithms and models that optimise financial returns from trading the flexibility of Flexa’s residential battery portfolio

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Drive the delivery of complex, trading strategy projects from research to production deployment and monitoring — anticipating dependencies and resolving them early

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Contribute to the technical vision for how Flexa trades flexibility across energy markets and hardware assets, and help make it a reality

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Identify new market opportunities and residential flexibility value to shape the data science roadmap and next‑gen algorithms

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Champion engineering rigor and ML best practices to foster an open, data‑driven engineering culture.

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Implement, deliver, and monitor well‑engineered, data‑driven solutions in our real‑time production systems

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Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback

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Be part of a cross‑functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem

Your Profile

Mandatory Requirements:

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University degree in a data‑driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline)

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5+ years applied data science, with significant time spent developing trading algorithms in the energy or financial sectors

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Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy

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Strong knowledge of probability and statistics, incl. time‑series data processing, analysis, and forecasting, with a focus on streaming settings

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Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design

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Excellent English communication and interpersonal skills

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Cross‑functional collaboration mindset across data scientists, software engineers, and partner‑company stakeholders

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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

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Direct experience with energy trading, especially for the flexibility of battery storage systems

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Expertise in designing algorithmic trading strategies and modelling market impact within intraday continuous markets

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Substantial background in forecasting intraday price movements, modelling order book dynamics, and market microstructure

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Experience with both Machine Learning and mathematical optimization development

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Experience designing or owning real‑time or near‑real‑time analytics workflows

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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.

Benefits

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Virtual Share Options: We offer virtual share options to all our employees

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Professional Development: Annual development budget of 3,000 € for coachings, trainings, books, etc

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Health & Sport Subsidy: Company subsidised sports facilities membership or Public Transportation Subsidy: Monthly subsidy for your public transport ticket

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Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers

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Work Equipment: MacBook, an ergonomic workplace setup, and company‑funded access to leading AI development tools so you always have the best tools available

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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!