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- Tasks: Support catastrophe modelling for property insurance and ensure data integrity.
- Company: Leading specialty insurance provider in the UK with a strong reputation.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Why this job: Make a real impact in the insurance industry while developing your analytical skills.
- Qualifications: Bachelor’s degree, strong analytical skills, and proficiency in Excel; SQL knowledge preferred.
- Other info: Office presence required at least 3 days a week for team collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading specialty insurance provider in the United Kingdom is looking for a candidate to provide natural and man-made catastrophe modeling support to property insurance underwriters. The role involves pricing new and renewal business and ensuring data integrity with 3rd party partners.
The successful applicant should have:
- A Bachelor’s degree in a relevant field
- Strong analytical and communication skills
- Proficiency in Microsoft Excel
- Additional preferences for SQL or programming knowledge
The position requires being in the office at least 3 days per week.
Catastrophe Modelling Analyst: Risk & Portfolio Insight employer: Axis
Contact Detail:
Axis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Catastrophe Modelling Analyst: Risk & Portfolio Insight
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and catastrophe modelling fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your analytical skills. Be ready to discuss how you've used data in past roles, especially with Excel or SQL. We want to see your thought process and how you tackle problems!
✨Tip Number 3
Showcase your communication skills! During interviews, practice explaining complex concepts in simple terms. This is key for working with underwriters and ensuring everyone’s on the same page.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Catastrophe Modelling Analyst: Risk & Portfolio Insight
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience and skills that match the job description. We want to see how your background in catastrophe modelling or analytics can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the role. Share specific examples of your analytical skills and any experience with Excel or SQL that makes you stand out.
Showcase Your Communication Skills: Since communication is key in this role, make sure your application reflects your ability to convey complex information clearly. We love candidates who can articulate their thoughts well!
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 the position without any hiccups!
How to prepare for a job interview at Axis
✨Know Your Catastrophe Modelling
Make sure you brush up on your knowledge of catastrophe modelling, especially in relation to property insurance. Be prepared to discuss specific models you've worked with and how they apply to both natural and man-made disasters.
✨Excel is Your Best Friend
Since proficiency in Microsoft Excel is a must, practice using advanced functions and data analysis tools. Bring examples of how you've used Excel in past roles to solve problems or improve processes.
✨Communicate Clearly
Strong communication skills are key for this role. Prepare to explain complex concepts in simple terms, as you may need to present your findings to underwriters or other stakeholders who might not have a technical background.
✨Show Your Analytical Skills
Be ready to demonstrate your analytical thinking during the interview. You might be given a scenario or a dataset to analyse on the spot, so practice breaking down problems and articulating your thought process clearly.
