Quantitative Researcher

Fuse Energy; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary and equity sign-on bonus

Biannual bonus scheme

Fully expensed tech

Paid annual leave

Breakfast and dinner allowance for office based employees

Job summary

A forward-thinking renewable energy startup in Greater London is seeking a Quantitative Analyst. The successful candidate will develop quantitative models to support hedging strategies, analyze market data for solar and wind farm optimization, and conduct statistical modeling to inform trading decisions. Candidates should have over a year of experience in a relevant role and strong proficiency in Python. This position offers a competitive salary, an equity sign-on bonus, and benefits including paid leave and allowances.

Qualifications

• 1+ 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.

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.

Skills

Quantitative modeling

Data analysis

Python

Statistical modeling

Problem-solving

Job 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 $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, 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 that rewards users in Energy Dollars for electrifying their 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

Requirements

• 1+ 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