Quantitative Researcher

Fuse Energy
London
Workplace: OnsiteFull timeFunction: Capital Markets, Trading & QuantExperience: 1+ yearsSkills: ["Problem-solving","Communication","Teamwork"]

We are seeking a Quantitative Researcher to develop and implement quantitative models for hedging and trading in retail energy, analyze market data to optimize solar/wind assets, and collaborate with engineering and operations to embed models into day-to-day decision-making. You’ll monitor power markets, regulatory developments, and use time-series data to inform risk and trading strategies in a rapidly growing renewables business.

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FursaFursa
Fuse Energy
Fuse Energy
5 months ago

Quantitative Researcher

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

We are seeking a Quantitative Researcher to develop and implement quantitative models for hedging and trading in retail energy, analyze market data to optimize solar/wind assets, and collaborate with engineering and operations to embed models into day-to-day decision-making. You’ll monitor power markets, regulatory developments, and use time-series data to inform risk and trading strategies in a rapidly growing renewables business.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant
Seniority: Entry level

Key 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

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityPaid LeaveBreakfast AllowanceDinner Allowance

Key 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
Experience:1+ yearsEnergyTradingAnalytics
Skills:Problem-solvingCommunicationTeamwork
Languages:English
Tech Stack:Python

Company Brief

Fuse Energy
Develops and delivers renewable energy solutions, focusing on clean power projects and services to enable decarbonization and grid flexibility for commercial and utility customers.
Industry: Renewable Energy
Website