Quantitative Researcher

Fuse Energy
Department Icon Data Science Analytics & Machine Learning
Posted: 11 months ago
1-3 years
Dubai, UAE
Data Science Analytics & Machine Learning
full time
Full Time
Posted: 11 months ago
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Job Description

Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Finance, Business Analysis & Consulting
Company Industry
Oil & Gas
Description

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. Were combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M 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 for office based employees

    • Skills

    CommoditiesFinanceHedgingTrading

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