Quantitative Researcher

Job Overview

Fuse Energy is seeking a Quantitative Researcher to develop and implement quantitative models to support hedging strategies for retail energy supply. The role involves analyzing market data, optimizing asset performance, and informing trading and risk management decisions.

Company Overview

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy. They combine first-principles thinking with cutting-edge technology to build a better energy system, raising $100M from top-tier investors. They are creating a fully integrated energy company, from developing renewable energy projects to real-time power trading and distributed energy installations.

Quick Details

• Salary Range: Market Competitive
• Job Type: Full-time
• Qualifications: None
• Experience: 1 Year+

Key Responsibilities

• Develop and implement quantitative models to support hedging strategies.
• Analyze market data to optimize the performance of physical assets.
• Conduct statistical and scenario-based modeling for trading and risk management.
• Monitor power markets and pricing trends to identify risks and opportunities.
• Collaborate with engineering and operations teams to integrate models.

Requirements

• 1+ years of experience in quantitative modeling, data analysis, or related roles.
• Strong proficiency in Python with data analysis, modeling, and visualization libraries.
• Solid understanding of statistical modeling, optimization, and analysis techniques.
• Experience working with time series or market data, preferably in energy markets.
• Strong problem-solving skills and the ability to translate complex data into 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.