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Job description
Fuse Energy is a renewable energy startup that combines first-principles thinking with cutting-edge technology to build a better energy system. We're creating a fully integrated energy company, from developing solar and wind projects to real-time power trading and distributed energy installations.
Develop and implement quantitative models to support hedging strategies, analyze market data to optimize physical assets, conduct statistical and scenario-based modeling, and monitor power markets and regulatory developments.
We're looking for a Quantitative Researcher with 1+ years of experience in quantitative modeling, data analysis, or a related role in energy, trading, or analytics. You'll have strong proficiency in Python and a solid understanding of statistical modeling, optimization, and analysis techniques.
Company
Energy & Mining • Tech, Software & IT Services
Fuse Energy is a full‑stack energy company headquartered in London and New York that aims to reduce energy costs and accelerate the transition to abundant, sustainable power. Leveraging a vertically integrated approach—from generation and storage to distribution and digital platform—Fuse delivers end‑to‑end solutions that streamline the energy value chain. The company’s distinctive value lies in its ability to combine cutting‑edge technology with deep industry expertise, enabling rapid deployment of scalable, low‑cost energy projects. With $170 million raised from leading investors such as Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, and MultiCoin, Fuse is positioned to transform an industry that remains broken.
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