Staff Data Scientist - Trading & Quant (d/f/m)
flexa · München ·
- Seniority
- Staff
- Employment
- Full time
- Category
- Data science
- Experience
- 15+ years
flexa · München ·
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)
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