Quantitative Researcher

Fuse Energy; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A progressive renewable energy startup in Dubai is seeking a quantitative analyst to develop models that support energy trading strategies. The ideal candidate will have over a year's experience in data analysis, strong proficiency in Python, and a solid foundation in statistical modeling. This role involves analyzing market trends, collaborating with engineering teams, and optimizing the performance of renewable energy assets. The position offers a competitive salary and various benefits like a biannual bonus and paid leave.

Benefits

Competitive salary

Equity sign-on bonus

Biannual bonus scheme

Fully expensed tech

Paid annual leave

Breakfast and dinner allowance

Qualifications

• 1+ years of experience in quantitative modeling or data analysis in energy or trading.
• Strong proficiency in Python, especially for data analysis.
• Solid understanding of statistical modeling and optimization.

Responsibilities

• Develop and implement quantitative models for retail energy supply.
• Analyze market data to optimize performance of assets.
• Conduct statistical modeling to support trading decisions.
• Monitor power markets and pricing trends.
• Collaborate with teams to integrate models into operations.

Skills

Quantitative modeling

Data analysis

Python

Statistical modeling

Optimization techniques

Time series analysis

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