TL;DR
Quantitative Researcher: Develop and implement quantitative models to support hedging strategies for retail energy supply and optimize physical assets. Focus on statistical and scenario-based modeling for trading and risk management decisions in power markets.
Location: Onsite (office-based)
Company
Fuse Energy is a forward-thinking renewable energy startup building a fully integrated energy company, developing projects from solar to hydrogen, power trading, and a decentralized energy network to strengthen grid stability.
What you will do
- Develop and implement quantitative models to support hedging strategies for retail energy supply.
- Analyze market data to optimize the performance of physical assets like 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.
Culture & 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.