We are seeking an experienced Quantitative Analyst to join our Trading team, driving value through advanced modelling, algorithm development, and data-driven market insights. The role will focus on analysing UK power market fundamentals, building models and algorithms across multiple time horizons, and delivering actionable signals that directly inform trading decisions and P&L. Working alongside a dynamic trading desk, the successful candidate will be exposed to a wide range of analytical challenges, with the opportunity to see their work translated immediately into commercial outcomes and strategic advantage.
About Conrad Energy Ltd
Conrad Energy is a fast-growing UK energy company. We're powering the move towards renewables through innovation and technology. We generate power to support the National Grid when renewables can't meet demand and we buy, sell and manage energy for businesses nationally. With a portfolio including gas, batteries, solar, wind and hydrogen, our 83 sites, operational or in construction, have a potential to generate 983MW of power making us one of the leading flexible energy providers in the country. Optimised and operated using our market-leading software, iON+, we're at the forefront of shaping a more efficient energy sector that is both reliable and sustainable. Over the last few years, we've planned and developed some of the largest energy infrastructure projects in Europe, as well as rapidly expanding the number of business customers working with us.
Main job tasks and responsibilities
Develop and own quantitative models of the UK power system across intraday, day-ahead, prompt, and forward horizons, with direct impact on trading decisions and P&L.
Design, build, and deploy trading algorithms that systematically identify and capture edge in power markets
Translate system fundamentals (supply stack, renewables, weather, storage, interconnectors, constraints, balancing behaviour) into clear trading signals
Build fast, reliable tools that support live trading - including pricing models, forecasting frameworks, optimisation routines, and real-time analytics.
Continuously refine and challenge existing models to maintain competitive edge as market conditions evolve.
What we are looking for
3+ years of direct experience in UK power markets, ideally embedded on a trading desk or in a front-office analytics role.
Deep, working knowledge of UK power system dynamics and market design, with the ability to connect fundamentals to price signals.
Proven track record of building models or algorithms that have generated measurable trading value.
Strong quantitative toolkit with the ability to move from theory to production quickly and pragmatically.
Excellent programming capability (e.g., Python or similar) with experience developing production-quality analytics or trading tools.
Experience modelling across multiple time horizons - from short-term dispatch and balancing dynamics to longer-term structural views.
Commercial mindset: focused on edge, speed, and impact rather than purely academic modelling.
Comfortable operating in a fast-paced, high-accountability trading environment.
Strong communicator who can challenge and be challenged and explain complex quantitative ideas clearly and confidently.