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- Tasks: Join the Renewals team to optimise pricing strategies using advanced analytics.
- Company: A growing personal lines insurer based in London, offering a fully remote role.
- Benefits: Enjoy the flexibility of remote work and collaborate with diverse teams.
- Why this job: Make an impact by enhancing customer retention through innovative pricing models.
- Qualifications: 2+ years in pricing or data analysis, with skills in Excel, SAS, Python, or R.
- Other info: Ideal for those passionate about predictive analytics and machine learning.
The predicted salary is between 36000 - 60000 £ per year.
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.
Pricing Analyst (Fully Remote) employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst (Fully Remote)
✨Tip Number 1
Familiarise yourself with the latest trends in pricing strategies within the insurance industry. Understanding how competitors are adjusting their pricing can give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your skills in data analysis tools like Excel, SAS, Python, or R. Being able to demonstrate your proficiency in these tools during a conversation can significantly boost your chances of landing the role.
✨Tip Number 3
Prepare to discuss specific examples of how you've applied predictive analytics in past roles. Highlighting your experience with machine learning techniques and how they’ve impacted retention rates will show your value to potential employers.
✨Tip Number 4
Network with professionals in the insurance sector, especially those involved in pricing and analytics. Engaging with industry peers can provide insights and potentially lead to referrals for the position you're interested in.
We think you need these skills to ace Pricing Analyst (Fully Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in pricing or data analysis, especially within the insurance industry. Emphasise your proficiency in tools like Excel, SAS, Python, or R, and showcase any projects where you've applied predictive analytics or machine learning techniques.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Pricing Analyst role and how your skills align with the responsibilities outlined. Mention your understanding of competitor activity and market trends, and provide examples of how you've used data analysis to drive business decisions.
Showcase Analytical Skills: During the application process, highlight specific instances where you've performed detailed analyses of performance metrics. Discuss how your insights led to improved retention rates or other key outcomes, demonstrating your ability to spot trends and anomalies in data.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a role that involves analysing large data sets.
How to prepare for a job interview at Arthur Recruitment
✨Showcase Your Analytical Skills
As a Pricing Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used tools like Excel, SAS, Python, or R in previous roles. Highlight any predictive analytics projects you've worked on and the impact they had on pricing strategies.
✨Understand the Insurance Market
Familiarise yourself with current trends in the insurance industry, especially regarding personal lines. Being able to discuss competitor activity and market dynamics will demonstrate your proactive approach and understanding of the role's requirements.
✨Prepare for Technical Questions
Expect questions that assess your knowledge of machine learning techniques and demand modelling. Brush up on key concepts and be ready to explain how you would apply these techniques to optimise renewal pricing models.
✨Emphasise Attention to Detail
Given the importance of spotting trends and anomalies in large data sets, be ready to provide examples of how your attention to detail has led to successful outcomes in your previous work. This could include identifying high-risk customers or improving retention rates through data-driven insights.
