At a Glance
- 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 collaborate with diverse teams.
- Other info: Stay ahead of market trends and leverage machine learning techniques in your role.
- Why this job: Make an impact by enhancing customer retention through innovative pricing models.
- Qualifications: 2+ years in pricing or data analysis, preferably in insurance; skilled in Excel, SAS, Python, or R.
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) in London employer: Arthur Recruitment
Join a forward-thinking personal lines insurer that values innovation and creativity in its pricing team. With a strong emphasis on employee growth, you will have the opportunity to develop your skills in a collaborative environment while working on cutting-edge pricing methodologies. Enjoy a supportive work culture that encourages curiosity and offers meaningful career advancement opportunities in a dynamic sector.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analyst (Fully Remote) in London
✨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 in 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 who work in pricing or data analysis roles. Engaging in discussions about current challenges and innovations can provide valuable insights and potentially 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 who can contribute immediately.
We think you need these skills to ace Pricing Analyst (Fully Remote) in London
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 your understanding of market trends and competitor activity, and how you can contribute to optimising pricing strategies.
Highlight Relevant Achievements:When detailing your previous roles, focus on specific achievements that demonstrate your ability to analyse renewal performance metrics and recommend effective pricing strategies. Use quantifiable results to illustrate your impact, such as improvements in retention rates or reductions in loss ratios.
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've applied these techniques in real-world scenarios, particularly in relation to retention strategies.
✨Emphasise Attention to Detail
In this role, spotting trends and anomalies in large datasets is vital. Prepare to share examples where your attention to detail made a significant difference in your analysis or decision-making process. This will help illustrate your fit for the position.
