Quantitative Analyst

JR United Kingdom; Slough; On-site; GBP 45,000 - 70,000; Full time

Job summary

A climate tech startup in the UK is seeking a Quantitative Analyst to shape trading strategies using machine learning and real-time data. You'll work in a collaborative environment to influence energy consumption while enjoying a hybrid work model in central London.

Benefits

Central London office

Hybrid work arrangement (2-3 days in office)

Qualifications

• Strong background in quantitative analysis, data science, or mathematical modeling.
• Experience in forecasting or algorithmic trading is a plus.
• Comfortable building production-quality code in Python.

Responsibilities

• Take ownership of core elements of trading strategy and system design.
• Build, test, and iterate on predictive models and real-time trading algorithms.
• Identify and act on new commercial opportunities in energy markets.

Skills

Quantitative analysis

Data science

Mathematical modeling

Time-series data

Forecasting

Algorithmic trading

Python

Job description

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A climate tech startup, backed by leading VCs, that's using machine learning and real-time energy infrastructure to build an automated power trading platform and accelerate grid decarbonisation are looking for a Quantitative Analyst to join their team.

What You’ll Be Doing:

This is a hands-on, high-impact role where your work will shape trading strategies and directly influence how and when electricity is consumed by thousands of homes and businesses.

• Take ownership of core elements of the trading strategy and system design
• Build, test, and iterate on predictive models and real-time trading algorithms
• Work with diverse, high-resolution datasets, including energy usage, weather, and market pricing data
• Identify and act on new commercial opportunities in both existing and emerging energy markets
• Collaborate closely with founders and senior stakeholders in a fast-paced, results-driven environment

What we're looking for:

• Strong background in quantitative analysis, data science, or mathematical modeling
• Experience with time-series data, forecasting, or algorithmic trading a plus
• Comfortable building production-quality code in Python
• Excited by the opportunity to work at the intersection of machine learning, energy systems, and environmental impact
• Motivated by autonomy, and excited to work in a collaborative startup culture where your contributions matter

What's in it for me:

• Central London office, hybrid (2–3 days a week in the office)
• Be part of an ambitious startup that values creativity, initiative, and deep technical expertise

Please apply now for immediate consideration!

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Created on 31/05/2025 by JR United Kingdom