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- Tasks: Join our Renewals team to optimise pricing strategies using advanced analytics.
- Company: We're a growing personal lines insurer based in London, offering fully remote roles.
- Benefits: Enjoy the flexibility of remote work and a collaborative team environment.
- 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 data and looking to shape the future of insurance.
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) (London Area) employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst (Fully Remote) (London Area)
✨Tip Number 1
Familiarise yourself with the latest trends in the insurance industry, especially around pricing strategies and competitor analysis. This knowledge will not only help you during interviews but also demonstrate your proactive approach to staying informed.
✨Tip Number 2
Brush up on your data analysis skills, particularly in tools like Excel, SAS, Python, or R. Consider working on personal projects or online courses that showcase your ability to apply predictive analytics and machine learning techniques relevant to pricing models.
✨Tip Number 3
Network with professionals in the insurance sector, especially those involved in pricing and analytics. Engaging in discussions on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis to drive business decisions in previous roles. Highlighting your experience with retention strategies and performance metrics will make you stand out as a candidate.
We think you need these skills to ace Pricing Analyst (Fully Remote) (London Area)
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 in the job description. Mention specific examples of how you've optimised pricing strategies or analysed renewal performance metrics in previous roles.
Showcase Analytical Skills: During the application process, highlight your analytical skills by discussing your experience with data analysis and how you've used it to inform pricing strategies. Provide examples of how you've identified trends or anomalies in data sets and the impact of your recommendations on business outcomes.
Proofread Your Application: Before submitting your application, take the time to proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a Pricing Analyst.
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 projects where you applied predictive analytics or machine learning techniques.
✨Understand the Insurance Market
Familiarise yourself with current trends and competitor activities in the insurance industry. Being able to discuss these insights during your interview will demonstrate your commitment to staying informed and your understanding of how they impact pricing strategies.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and pricing models. Brush up on your knowledge of demand modelling and retention strategies. Practising how to explain complex concepts in simple terms can also be beneficial.
✨Demonstrate Attention to Detail
Given the importance of detail in this role, be ready to provide examples of how you've identified trends or anomalies in large datasets. Discussing your approach to ensuring accuracy in your analyses will show that you possess the necessary skills for the job.
