Quantitative Researcher
Fuse Energy Open · verified Oct 24, 2026 At a glance
Mid-level Data Science role at Fuse Energy. London · full-time · no salary stated · we estimate £62,250–£94,375.
Fuse Energy has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build quantitative models that guide hedging for retail energy supply
- Use market data to improve how solar and wind assets perform
- Apply statistical and scenario analysis to support trading and risk decisions
- Track power prices, market movements and regulatory changes to spot risks and openings
- Work with engineering and operations to bring models into everyday decisions
What you bring
- At least one year in quantitative modeling, data analysis or a related role across energy, trading or analytics
- Strong Python skills, including data analysis, modeling and visualization libraries
- A sound grounding in statistics, optimization and analytical methods
- Experience with time-series or market data, ideally from energy or commodities
Who this fits
This mid-level, full-time role is based onsite in London. You'll suit work that combines quantitative research with practical input to trading, hedging and physical asset decisions.
From the employer
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.
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