Staff Data Scientist - Trading & Quant (d/f/m)

• Employment Type: Full-Time, indefinite term
• Salary Range: € 115.000 - 135.000 per year gross depending on the seniority level
• Office-first work setup
• Language Requirement: C1 Level English

• Lead the technical implementation of trading strategy research and algorithms that optimise financial returns from trading the flexibility of Flexa's residential battery portfolio, from ideation and research through production deployment and monitoring
• Drive the delivery of complex, trading strategy projects from research to production deployment and monitoring — anticipating dependencies and resolving them early
• Own 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
• Drive the advancement of the trading platform's product roadmap, ensuring solutions are scalable, well-engineered, and expand the reach of our flexibility trading capabilities
• Keep Flexa at the forefront of innovation in energy trading and residential flexibility market
• Work collaboratively across Flexa's cross-functional teams — data scientists, software engineers, and other functions — and with partner companies, ensuring alignment with product and business goals

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

• 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 software development and software practices, with strong expertise in Python

• Demonstrated ability to tackle and resolve multiple complex data science challenges simultaneously, from conceptualization to delivery in production, within fast-paced environments

• Excellent communication skills in English, and ability to handle multiple stakeholders in a cross-functional setting

• 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.

• Proven record of guiding data scientists to contribute to the organization’s financial performance

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

• Deep understanding of optimisation problems and methodologies

• 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)

• 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
• Public Transportation Subsidy: Monthly subsidy to your public transport ticket
• Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers
• Work Equipment: Mac Book or Windows Laptop, iPhone (also for private use) and ergonomic workplace
• Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.

Willi Richert, VP of Technology — flexa

Hi there!

I'm Willi, VP of Technology at flexa. I've spent the last 15 years building engineering teams around systems that have to make good decisions fast and at scale. Most recently at Lyft, where I led the mapping organization — 30+ engineers across five countries — and we moved more than 96% of rides off Google Maps onto our own mapping product. Before that I worked on machine learning and conversational AI at Microsoft Bing, and I did a PhD on learning in heterogeneous robot groups, which is a long way of saying that distributed decision-making has held my attention for a while.

What pulled me to flexa is that it's the same class of problem with something physical at the other end. We dispatch energy of the Enpal customer fleet in real time against energy markets. If our infrastructure is a few seconds late or a few percent off, customers lose money and the grid gets less flexibility than it could have had. That makes cloud engineering a first-order product concern here rather than a supporting function — which is why this role sits close to the decisions that actually matter.

How I work: I'd rather hand you the whole problem, context and constraints included, than a ticket. I care that engineers can see the consequences of what they build, and I'll be direct with feedback and expect the same back — the fastest way to lose a year is for everyone to stay polite about an architecture that isn't working.

You won't find everything already built. Some of it is greenfield, some of it needs replacing, and you'll have real influence over which is which. If that sounds like your kind of problem, I'd like to hear from you — and if you're not sure your profile is a perfect match, apply anyway and let's talk.

Looking forward to meeting you,

Willi