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Quantitative Researcher
Posted by Fuse Energy on 24 August 2026, 47 days ago. Still on their Workable board when we checked 1 h ago.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationLondon, England, United Kingdom
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-08-24
Found viaworkable, direct from their system
We saw it 2 months after it went up.
The posting, as the company wrote it
Employment: Full-time
Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system.
We've raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber.
We're building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes. By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers.
We're hiring a Quantitative Researcher to build the models behind our trading, hedging and physical asset optimisation.
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 eligibility for equity
Biannual bonus scheme
Fully expensed tech to match your needs
Private health insurance
Breakfast and dinner allowance for office-based employees
As we hire globally, benefits vary by location.
Copied from Fuse Energy’s own board, not rewritten. Original ↗
Also open at Fuse Energy
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