Pricing Analyst (Fully Remote)

JR United Kingdom; London; Remote; GBP 40,000 - 55,000; Full time

Job summary

A leading personal lines insurer in the UK is seeking a fully remote Pricing Analyst to join their Renewals team. This role focuses on optimizing pricing strategies using advanced analytics and machine learning techniques. The analyst will work closely with various teams to design and implement pricing models that enhance customer retention and business performance.

Qualifications

• At least 2 years of experience in pricing or data analysis, preferably in insurance.
• Proficiency in Excel, SAS, Python, and R required.
• Strong knowledge of predictive analytics and machine learning techniques.

Responsibilities

• Monitor competitor activity to ensure competitive renewal pricing.
• Apply predictive analytics for identifying high-risk customers.
• Analyze performance metrics to find improvement opportunities.

Skills

Predictive analytics

Data analysis

Machine learning techniques

Attention to detail

Tools

Excel

SAS

Python

R

Job description

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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