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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 detail-oriented individuals 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) (Altrincham) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst (Fully Remote) (Altrincham)
✨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 skills in data analysis tools like Excel, SAS, Python, or R. Consider working on a small project or case study that showcases your ability to apply predictive analytics and machine learning techniques relevant to pricing models.
✨Tip Number 3
Network with professionals in the insurance sector, particularly those involved in pricing and analytics. Engaging in discussions or attending webinars 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 your 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) (Altrincham)
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 experience with renewal pricing models and your ability to analyse performance metrics.
Showcase Analytical Skills: Provide specific examples of how you've used data analysis to drive business decisions in previous roles. Highlight any instances where you identified trends or anomalies in data sets and how that influenced pricing strategies or customer retention efforts.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role that involves analysing complex data.
How to prepare for a job interview at Placed
✨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.
✨Demonstrate Attention to Detail
Given the importance of detail in this role, prepare to discuss how you've identified trends and anomalies in large datasets in the past. Providing concrete examples will help illustrate your meticulous nature and analytical mindset.
