Quantitative Analyst

JR United Kingdom; Stoke-on-Trent; On-site; GBP 50,000 - 100,000; Full time

Job summary

A fast-moving climate tech startup seeks a Quant Analyst to help shape automated energy trading systems. This role combines quantitative analysis with machine learning, emphasizing the use of data to inform trading decisions and contribute to environmental goals.

Qualifications

• Experience with large complex datasets.
• Excitement about energy markets and applying skills to climate problems.
• Bonus for experience in algorithmic trading systems or sectors like energy, finance, renewables.

Responsibilities

• Work hands-on with trading data and market signals to inform strategy.
• Build prototypes and test hypotheses for energy control systems.
• Contribute to decarbonizing the energy grid through trading.

Skills

Quantitative analysis

Trading

Applied maths

Statistics

Data analysis

Education

Degree in Quantitative Analysis, Trading, or Applied Mathematics/Statistics

Job description

Social network you want to login/join with:

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.