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Pricing Analyst Fully Remote

Pricing Analyst Fully Remote

Arthur

Posted 2 days ago, valid for 25 days

London, Greater London EC2V 7WS, England

£45,000 - £54,000 per annum

Full Time

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Sonic Summary

A growing personal lines insurer is seeking a Pricing Analyst for their Renewals team to optimize pricing strategies for the renewal portfolio.
The role involves collaborating with Pricing, Underwriting, and Customer Retention teams to design and implement renewal pricing models using advanced analytics and machine learning.
Candidates must have at least 2 years of experience in a pricing or data analysis role, preferably in the insurance industry.
Proficiency in data analysis tools such as Excel, SAS, Python, or R is required, along with strong knowledge of predictive analytics and machine learning techniques.
The position is fully remote and offers a competitive salary, details of which can be discussed during the interview process.

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

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