Pricing Analyst (Fully Remote)

JR United Kingdom; Leigh; Remote; GBP 30,000 - 45,000; Full time

Job summary

A leading insurer is seeking a fully remote Pricing Analyst for their Renewals team. The role involves optimizing pricing strategies for the renewal portfolio and applying predictive analytics to enhance customer retention. Candidates should have strong analytics skills, attention to detail, and relevant industry experience.

Qualifications

• At least 2 years of experience in pricing or data analysis.
• Strong knowledge of predictive analytics and machine learning.
• Proficient in data analysis tools like Excel, SAS, Python, or R.

Responsibilities

• Optimize renewal pricing strategies using advanced analytics.
• Analyze competitor activity and market trends.
• Perform analyses of renewal performance metrics.

Skills

Data analysis

Predictive analytics

Machine learning

Attention to detail

Tools

Excel

SAS

Python

R

Job description

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Pricing Analyst (Fully Remote), leigh, greater manchester

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Client:

Arthur Recruitment

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

06.06.2025

Expiry Date:

21.07.2025

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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