Description
Quantitative Researcher
Job Summary
We're seeking a highly skilled Quantitative Researcher to join our team at Fuse Energy. As a Quantitative Researcher, you will develop and implement quantitative models to support hedging strategies for retail energy supply, analyze market data to optimize the performance of physical assets, and conduct statistical and scenario-based modeling to inform trading and risk management decisions.
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
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