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For Companies At a Glance
- Tasks: Enhance pricing function through performance insights, forecasting, and portfolio analysis.
- Company: Leading retail insurer with a focus on innovation and data-driven decisions.
- Benefits: Flexible hybrid work setup, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make impactful decisions in the insurance sector.
- Qualifications: Experience in insurance pricing and strong data analysis skills required.
- Other info: Work 2-3 days in the office for collaboration and networking.
The predicted salary is between 36000 - 60000 £ per year.
A leading Retail insurer is seeking a Senior Portfolio Pricing Analyst in Manchester to enhance its pricing function. You will focus on delivering performance insights, forecasting, and portfolio analysis to support decision-making across various Retail lines.
The ideal candidate has experience in insurance pricing, strong data analysis skills, and familiarity with tools like Python and SQL.
This hybrid role allows for a flexible work setup, requiring office attendance for about 2-3 days a week.
Portfolio Pricing & Forecasting Lead (Hybrid, Manchester) employer: The Actuary
Contact Detail:
The Actuary Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Portfolio Pricing & Forecasting Lead (Hybrid, Manchester)
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance industry, especially those who work in pricing and forecasting. A casual chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! If you’ve got experience with Python and SQL, consider creating a small project or analysis that showcases your abilities. Share it on LinkedIn or during interviews to impress potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of retail insurance trends and pricing strategies. We want you to be able to discuss how your insights can drive performance in their portfolio.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Portfolio Pricing & Forecasting Lead (Hybrid, Manchester)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in insurance pricing and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your familiarity with tools like Python and SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Portfolio Pricing & Forecasting Lead role. Share specific examples of your past work that demonstrate your analytical prowess and decision-making support.
Showcase Your Analytical Skills: In your application, highlight any projects or experiences where you’ve delivered performance insights or conducted portfolio analysis. We love seeing how you’ve used data to drive decisions in previous roles!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at The Actuary
✨Know Your Numbers
Make sure you brush up on your data analysis skills before the interview. Be prepared to discuss specific examples of how you've used Python and SQL in your previous roles, especially in relation to pricing and forecasting.
✨Understand the Retail Insurance Landscape
Familiarise yourself with current trends and challenges in the retail insurance sector. This will not only show your interest in the field but also help you provide insightful answers during discussions about portfolio analysis.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think of situations where you had to make data-driven decisions and be ready to explain your thought process clearly.
✨Showcase Your Communication Skills
As this role involves supporting decision-making, it's crucial to demonstrate your ability to communicate complex data insights effectively. Practice explaining your past projects in a way that's easy to understand for non-technical stakeholders.
