Quantitative Researcher

Overview

Develop and implement statistical models for energy supply and credit risk using Python.

Key Responsibilities

• python modeling
• data analysis
• credit risk
• risk management
• regulation monitoring

Tasks

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

Requirements

• python
• pandas
• numpy
• scipy
• statistics
• energy

What You Bring

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

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Benefits

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

About Fuse Energy

-Founded in 2022 by former Revolut executives, the company entered a post‑crisis UK market aiming to shake up energy supply. -They built an app‑first platform that guarantees the lowest electricity tariff, undercutting Ofgem’s price cap and refunding any difference. -Alongside retail supply, they invest in and manage solar and wind farms, and are pairing renewables with electrolyzers to explore green hydrogen. -Typical projects include tariff optimization, smart meter installation, vertical integration of renewables, and hydrogen pilot systems. -Their multi‑rate and Economy 7/10 tariffs complement rooftop installations, offering both peak/off‑peak benefits and behind‑the‑meter generation. -An unusual early move: launching with real‑time consumption tracking and renewables investment from day one, blending tech, green energy and finance.

Sector Specialisms