Pricing Analyst (Fully Remote)

Arthur Recruitment; Greater London; Remote; GBP 42,000 - 56,000; Full time

Job summary

Arthur Recruitment partners with a growing personal lines insurer in London to recruit a Pricing Analyst. The role is fully remote and concentrates on designing renewal pricing models and leveraging analytics and machine learning to optimise the renewal portfolio. You will work with Pricing, Underwriting, and Customer Retention teams to implement pricing strategies based on predictive insights. This position emphasizes rigorous data analysis and cross-team collaboration.

Qualifications

• 2+ years of pricing or data analysis experience
• Experience in insurance industry preferred
• Strong analytical and modeling skills

Responsibilities

• Monitor competitor activity and market trends to keep renewal pricing competitive.
• Apply predictive analytics to identify high‑risk customers and recommend pricing actions.
• Analyze renewal metrics (retention, loss ratios, GWP) to spot improvement opportunities.

Skills

Pricing analytics

Data analysis

Machine learning basics

Attention to detail

Tools

Excel

SAS

Python

R

Job description

I am working with a growing personal lines insurer who are seeking a Pricing Analyst within their Renewals team, to help optimise pricing strategies for the renewal portfolio.

The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals.

My client is headquartered in London but this role is fully remote.

Responsibilities:

• Stay updated on competitor activity and market trends to ensure renewal pricing remains competitive and aligned with industry standards
• Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention
• Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and income, to identify opportunities for improvement

Requirements:

• At least 2 years of experience in a pricing or data analysis role, preferably within the insurance industry
• Proficiency in data analysis tools such as Excel, SAS, Python, or R
• Strong knowledge of predictive analytics, machine learning techniques, and demand modeling
• High attention to detail, with a keen ability to spot trends and anomalies in large data sets