Quantitative Researcher

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

About the Company

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy—fast. By combining first-principles thinking and advanced technology, Fuse Energy aims to create a radically better energy system. The company develops solar, wind, and hydrogen projects, engages in real-time power trading, and builds distributed energy installations. Fuse Energy is committed to innovation, direct-to-consumer sales, and stability of the energy grid through their decentralised Energy Network platform, rewarding users for efficient energy usage and supporting energy-intensive industries.