Pricing Analyst (Fully Remote)

Arthur Recruitment

London

Remote

GBP 50,000 - 55,000

Full time

14 days+
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Job summary

A leading insurance firm is seeking a Pricing Analyst to join their Renewals team. This remote role focuses on optimizing pricing strategies through the use of advanced analytics and machine learning techniques. Candidates should have at least 2 years of experience in pricing or data analysis, and strong proficiency in data analysis tools like Excel and Python. The ideal candidate will be detail-oriented and able to identify trends in data to enhance retention strategies.

Qualifications

  • 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.

Responsibilities

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

Skills

Data analysis
Predictive analytics
Attention to detail
Machine learning

Tools

Excel
SAS
Python
R

Job description

This range is provided by Arthur Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Arthur Recruitment

Consultant at Arthur | Pricing | Actuarial | Insurance |

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
Seniority level
  • Seniority level
    Associate
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Finance
  • Industries
    Insurance

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