Quantitative Analyst

Understanding Recruitment; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading climate tech startup is seeking a Quant Analyst to work on innovative trading strategies impacting emissions and efficiency. This hybrid role offers a unique opportunity to engage with real-world energy trading, using advanced technical skills in a rapidly scaling environment focused on sustainable energy solutions.

Qualifications

• Strong technical background in Computer Science or similar from a top-tier university.
• Experience with hands-on market data analysis.
• Commercially sharp with a focus on real-world impact.

Responsibilities

• Build and test trading strategies to improve system efficiency and emissions.
• Work directly with trading data and market signals.
• Shape the automated energy trading system.

Skills

Python

SQL

Docker

GCP

Education

Degree in Computer Science or similar

Job description

Quant Analyst – Power Markets

London (Hybrid, 2–3 days/week) | £Flexible + Equity

This role is for someone with a strong technical background, ideally Computer Science or similar from a top-tier university, who’s ready to take on complex, high-impact work in the energy space. It’s a chance to help build the trading logic behind one of the UK’s fastest-growing climate tech startups.

The team is scaling fast and doing genuinely important work in decarbonisation. They’re already controlling real-world assets like EV chargers, home batteries and heat pumps. You’ll work directly with trading data, market signals and price dynamics. You’ll build and test strategies, prototype new approaches, and play a key role in shaping how their automated energy trading system works in the real world.

Why this role stands out:

• Work hands-on with live market and trading data
• Build and test strategies that go straight into production
• Help shape the core logic behind a fast-growing trading platform
• Make a direct impact on emissions, system efficiency and commercial performance
• Join a tight-knit, highly technical team doing meaningful work at pace

Tech stack: Python, SQL, Docker, GCP

If you’re technically strong, commercially sharp and want to apply your skills to something with real-world impact, apply now.