Pricing Analyst (Fully Remote)

JR United Kingdom; Leeds; Remote; GBP 35,000 - 55,000; Full time

Job summary

A growing personal lines insurer is seeking a fully remote Pricing Analyst in Leeds to optimize renewal pricing strategies. This role involves close collaboration with Pricing, Underwriting, and Customer Retention teams to design and implement pricing models using advanced analytics and machine learning techniques.

Qualifications

• 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.

Responsibilities

• Analyze competitor activity and market trends for competitive renewal pricing.
• Apply predictive analytics for customer risk and retention strategies.
• Analyze renewal performance metrics to identify areas for improvement.

Skills

Data analysis

Predictive analytics

Machine learning techniques

Attention to detail

Education

2 years experience in pricing or data analysis

Tools

Excel

SAS

Python

R

Job description

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Pricing Analyst (Fully Remote), leeds, west yorkshire

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Client:

Arthur Recruitment

Location:

leeds, west yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

7

Posted:

10.06.2025

Expiry Date:

25.07.2025

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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