HubMub
-
Fuse Energy

Quantitative Researcher

Fuse Energy
United Kingdom · Full-time · Mid-Senior
We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.

Responsibilities:

  • Develop and implement models for our energy supply business using Python and other data science tools
  • Identify, analyze, and mitigate credit risk
  • Conduct data analysis and modeling to support risk management decisions
  • Stay current with industry developments and regulations related to credit risk management

Requirements

  • 2+ years of experience as a quantitative researcher or data scientist
  • Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
  • Strong statistical and modeling skills
  • Strong communication and collaboration skills
  • Experience in the energy industry is a plus

Benefits

  • Competitive salary and a stock options sign-on bonus
  • Biannual bonus scheme
  • Fully expensed tech to match your needs!
  • 28 days paid annual leave per year including public holiday

Key Skills

Ranked by relevance

python data analysis pandas numpy
Login to Apply
🇬🇧

Country Guide

United Kingdom

Global English-speaking job market

Posted
May 18, 2026
Type
Full-time
Level
Mid-Senior
Location
London
Company
Fuse Energy

Industries

Services for Renewable Energy

Categories

Analyst

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Brunel
Related

Data Scientist

2026-05-19

Full-time
Associate
Australia
Services for Renewable Energy
Analyst
View Job Details
SSE plc
Related

Senior Data Scientist

2026-05-20

Full-time
Not Applicable
United Kingdom
Utilities
Project Management
View Job Details
EPFL
Related

Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis

2026-05-26

Full-time
Not Applicable
Switzerland
Higher Education
Research