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
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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
#J-18808-Ljbffr
