At a Glance
- Tasks: Analyse data and develop pricing strategies for a leading insurance company.
- Company: Join a top UK insurance firm with a focus on innovation.
- Benefits: Enjoy flexible working, health support, and annual bonuses.
- Why this job: Make an impact in a hybrid role with advanced data analysis.
- Qualifications: Degree in a numerical field and 3+ years of experience required.
- Other info: Great opportunity for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK insurance company is seeking a Senior Pricing Analyst to join their Strategic Pricing Team. This hybrid role in Bournemouth will involve advanced data analysis and pricing strategies.
Ideal candidates should have a degree in a numerical discipline and 3+ years of relevant experience.
The position offers a flexible working arrangement and a comprehensive benefits package, including health support and annual bonus schemes.
Senior Pricing Analyst, Market – Hybrid, ML-Driven Pricing in City of London employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analyst, Market – Hybrid, ML-Driven Pricing in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the insurance industry, especially those working in pricing. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by brushing up on your data analysis skills. Be ready to discuss how you've used advanced analytics in past roles to drive pricing strategies. We want to see your expertise shine!
✨Tip Number 3
Showcase your passion for ML-driven pricing! Research the latest trends and be prepared to share your thoughts on how machine learning can enhance pricing strategies in the insurance sector.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Pricing Analyst, Market – Hybrid, ML-Driven Pricing in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and pricing strategies. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Strategic Pricing Team. Share specific examples of your past work that relate to the job description.
Showcase Your Numerical Skills: Since this role requires a degree in a numerical discipline, make sure to emphasise your educational background and any relevant projects or experiences. We love numbers, so let them speak for you!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Ageas
✨Know Your Numbers
As a Senior Pricing Analyst, you'll be expected to handle advanced data analysis. Brush up on your numerical skills and be ready to discuss specific examples of how you've used data to drive pricing strategies in your previous roles.
✨Understand the Market
Research the insurance market and current trends. Be prepared to talk about how these trends could impact pricing strategies. Showing that you’re aware of the competitive landscape will impress the interviewers.
✨Prepare for Technical Questions
Expect technical questions related to pricing models and data analysis tools. Familiarise yourself with common methodologies and be ready to explain your thought process when tackling complex pricing scenarios.
✨Showcase Your Flexibility
Since this is a hybrid role, highlight your ability to work both independently and collaboratively. Share examples of how you've successfully adapted to different working environments and how you manage your time effectively.