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Quantitative Analyst

JR United Kingdom

Telford

Hybrid

GBP 50,000 - 70,000

Full time

9 days ago

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Job summary

Join a leading climate tech startup as a Quant Analyst in London. Contribute to innovative energy trading systems while leveraging your quantitative skills. The role involves hands-on work with trading data and collaboration with an expert team to drive impactful energy solutions.

Qualifications

  • Experience in quantitative analysis, trading or applied maths/stats.
  • Comfortable with large datasets.
  • Excited about applying skills to climate-related energy markets.

Responsibilities

  • Work hands-on with trading data to inform strategy.
  • Build prototypes and design systems for energy control.
  • Contribute to decarbonising the grid through practical trading.

Skills

Quantitative analysis
Data handling
Energy markets
Algorithmic trading systems

Education

Degree in Maths, Stats or related field

Job description

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Quant Analyst – Power Markets | London Hybrid | £Flexible + Equity

Location: Hybrid in London (2–3 days per week in-office)

I’m hiring for a fast-moving climate tech startup that’s building the next generation of automated energy trading systems. They’re looking for a quantitative analyst to help uncover opportunities in the power markets and shape the trading logic that drives their platform.

This isn’t a traditional utility or desk role. The team combines machine learning with real-time control of devices like EV chargers, home batteries, and heat pumps; shifting energy use to when it’s cleanest and cheapest.

What makes this role interesting:

  • You’ll work hands-on with trading data and market signals to inform strategy
  • Build prototypes, test hypotheses, and help design the systems that control energy in thousands of homes
  • Play a key role in a small, expert team backed by top-tier investors
  • Contribute to decarbonising the grid through practical, high-impact trading

Who this could suit:

  • You have a background in quantitative analysis, trading, or applied maths/stats
  • You're comfortable working with large, complex datasets
  • You’re excited by energy markets and want to apply your skills to the climate problem
  • Bonus if you’ve worked on algorithmic trading systems, or in energy, finance, or renewables

If you’re ready to apply your quant skills to a space with real impact and scale, I’d love to speak with you.

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