Pricing Analyst (Fully Remote)

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

Job summary

A growing personal lines insurer seeks a Pricing Analyst to optimize renewal pricing strategies. The role involves working with Pricing, Underwriting, and Customer Retention teams to implement pricing models using advanced analytics. With a focus on competitor analysis and predictive techniques, this fully remote position offers a competitive opportunity to enhance customer retention and improve business outcomes.

Qualifications

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

Responsibilities

• Stay updated on competitor activity and market trends for competitive renewal pricing.
• Apply predictive analytics to identify high-risk customers and recommend strategies.
• Perform analyses of renewal performance metrics to identify opportunities for improvement.

Skills

Data analysis

Predictive analytics

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