Quantitative Analyst

JR United Kingdom; Basildon; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

Join a fast-moving climate tech startup as a Quant Analyst. You will analyze trading data and market signals, design automated energy trading systems, and play a key role in a small, expert team focused on decarbonising the grid. If you are passionate about energy markets and have a background in quantitative analysis, this role could be a great fit.

Qualifications

• Background in quantitative analysis, trading, or applied maths/stats.
• Comfortable working with large, complex datasets.
• Excited by energy markets and the climate problem.

Responsibilities

• Work hands-on with trading data and market signals.
• Build prototypes and design energy control systems.
• Contribute to decarbonising the grid through effective trading.

Skills

Quantitative Analysis

Applied Maths/Stats

Working with Large Datasets

Algorithmic Trading Systems

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.