Quantitative Researcher

Description Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lower carbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.

We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.

Responsibilities Develop and implement quantitative models to support hedging strategies for retail energy supply

Analyze market data to optimize the performance of physical assets such as solar and wind farms

Conduct statistical and scenario-based modeling to inform trading and risk management decisions

Monitor power markets, pricing trends, and regulatory developments to identify risks and opportunities

Collaborate with engineering and operations teams to integrate models into day-to-day decision-making

Requirements1+ years of experience in quantitative modeling, data analysis, or a related role in energy, trading, or analytics

Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization

Solid understanding of statistical modeling, optimization, and analysis techniques

Experience working with time series or market data, preferably in energy or commodities markets

Strong problem-solving skills and the ability to translate complex data into actionable insights

Benefits

Competitive salary and an equity sign-on bonus

Biannual bonus scheme

Fully expensed tech to match your needs

Paid annual leave

Breakfast and dinner allowance for office based employees

Job Summary ID: 5B530DB
ABBDepartment:

Type: full time