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)

At Flexa, we are committed to diversity - of backgrounds and experiences. You don’t need 100% of the preferred qualifications to add incredible value to our team. If you’re passionate about what you could accomplish here, we’d love to hear from you.

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

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