Our trading & optimization is scaling fast. We currently optimise and market a ~600 MW portfolio of battery storage systems and aggregated EV flexibility across Day-Ahead, Intraday and reserve markets in five European countries - and we’re just getting started.
We’re looking for someone who builds the algorithmic engine on top of our trading platform - not just maintaining what exists, but designing the optimisation framework that will drive our next phase of growth. You’ll lead a small, high-calibre team of quant traders, analyst and data scientists, work closely with the Head of Trading and Trading Analytics and Tech, and own the full lifecycle from research to production.
This role is for someone who is equally at home writing a stochastic dispatch optimiser, reviewing a backtest, or explaining model assumptions to a senior stakeholder.
- Designing and owning the algorithmic optimisation stack - multi-market dispatch optimisation, stochastic bidding strategies across DA, ID, FCR, aFRR and mFRR, and real-time decision logic for BESS assets
- Leading a team of 7 Quant Traders, Analyst and Data Scientists - setting direction, prioritising the roadmap, running code reviews, and building a strong delivery culture
- Driving the research-to-production pipeline: from hypothesis and backtesting through validation, deployment with Tech, and continuous performance monitoring
- Advancing the automation agenda together with the Platform teams.
- Building and maintaining BESS valuation and degradation models at fleet scale, incorporating physical constraints, cycle costs, and multi-market opportunity costs
- Acting as the key technical interface between quant models and trading strategy - translating trader intuition or quant insights into formal optimisation problems and communicating model outputs clearly
- Serving as key sparring partner for the senior leadership on algorithm performance, market structure changes, and quantitative strategy
