Quantitative Analyst

JR United Kingdom; Derby; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading climate tech startup is seeking a Quant Analyst to drive innovations in automated energy trading systems. This role involves working with complex datasets to inform trading strategies and design systems that manage energy consumption effectively. Join a small, expert team and contribute to significant climate impact while enjoying a hybrid work environment in London.

Qualifications

• Experience in quantitative analysis and trading.
• Background in applied maths or statistics.
• Familiarity with algorithmic trading systems preferred.

Responsibilities

• Work with trading data and market signals to inform strategy.
• Build prototypes and test trading hypotheses.
• Design systems to control energy distribution.

Skills

Quantitative analysis

Large dataset handling

Machine learning

Education

Applied maths/stats background

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.