Quant Developer – Power & Energy Markets

Our client is an expanding power trading house with ambitious plans to scale across Europe. As part of this growth, they are establishing a brand-new quantitative trading function—and we’re searching for the pioneering Quant Developer who will help build it from the ground up.

This is a unique chance to join at inception: designing the tools, frameworks, and technical foundations that will underpin a cutting-edge systematic trading operation across power, gas, oil, and carbon markets.

The Opportunity

You will be the technical engine behind the newly formed quant team. Sitting at the intersection of research and trading, you’ll take academic and analytical ideas and transform them into robust, production-ready trading systems. Expect a varied role spanning data engineering, research tooling, modelling support, and live execution infrastructure.

If you enjoy shaping architecture, owning end-to-end workflows, and working closely with researchers in a fast-moving environment, you’ll fit right in.

What You’ll Be Doing

• Designing, building, and maintaining infrastructure for research, simulation, and real-time execution
• Translating portfolio concepts and quantitative insights into deployable trading algorithms.
• Developing reliable ETL processes, APIs, and scalable data pipelines for diverse market, weather, and operational datasets
• Handling power-specific data including electricity futures, production figures, grid flows, UMMs, and meteorological inputs
• Implementing feature engineering, modelling support, and evaluation frameworks for systematic strategies
• Reviewing academic literature to identify novel techniques for data processing and model design.
• Contributing clean, well-structured code and offering technical insight throughout the research lifecycle

What We’re Looking For

• Degree in a quantitative, engineering, or computational discipline (or equivalent experience).
• 2+ years of experience as a Quant Developer, Software Engineer, or Data Scientist—ideally in a small team where you’ve worn many hats
• Strong Python programming skills and comfort with modern code practices (Git, version control workflows)
• Solid understanding of data engineering fundamentals: preprocessing, structuring, storage solutions, and API integrations
• Exposure to electricity futures is a significant advantage
• Someone who thrives in an agile, high-tempo environment, takes ownership, and can adapt across research, development, and operations
• Exceptional graduates with strong technical foundations and a passion for systematic trading are also encouraged to apply