At a Glance
- Tasks: Support pricing and underwriting teams by modelling risks and generating insightful reports.
- Company: Leading insurance company in London with a focus on innovation.
- Benefits: Comprehensive benefits package, professional development, and emphasis on employee wellbeing.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Strong IT skills, attention to detail, and analytical capabilities required.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance company in London seeks a Catastrophe Modelling Analyst to support pricing and underwriting teams. The ideal candidate will possess strong IT skills, attention to detail, and analytical capabilities.
Responsibilities include:
- Assisting in business operations
- Modeling risks
- Generating reports for management
This role is integral to ensuring accurate data interpretation and liaising with research teams. A comprehensive benefits package is offered, emphasizing professional development and employee wellbeing.
Catastrophe Modelling Analyst — Pricing & Modelling Expert in London employer: AIG
Contact Detail:
AIG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Catastrophe Modelling Analyst — Pricing & Modelling Expert in London
✨Tip Number 1
Network like a pro! Reach out to people in the insurance industry, especially those working in catastrophe modelling. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your analytical capabilities and IT skills. When you get the chance to chat with potential employers, share these examples to demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to pricing and modelling. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Catastrophe Modelling Analyst — Pricing & Modelling Expert in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your IT skills and analytical capabilities. We want to see how your experience aligns with the role of a Catastrophe Modelling Analyst, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about pricing and modelling in the insurance sector. We love seeing candidates who can articulate their interest and how they can contribute to our team.
Showcase Attention to Detail: In this role, attention to detail is key. When submitting your application, double-check for any typos or formatting issues. A polished application reflects your commitment to quality, which is something we value highly at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our company culture there!
How to prepare for a job interview at AIG
✨Know Your Numbers
As a Catastrophe Modelling Analyst, you'll be dealing with data and risk models. Brush up on your analytical skills and be prepared to discuss specific modelling techniques you've used in the past. Show them you can interpret data accurately and make informed decisions.
✨Showcase Your IT Skills
This role requires strong IT skills, so be ready to talk about the software and tools you're familiar with. If you've worked with specific modelling software or programming languages, mention them. Demonstrating your technical prowess will set you apart from other candidates.
✨Attention to Detail is Key
In this position, attention to detail is crucial. Prepare examples of how your meticulous nature has helped you catch errors or improve processes in previous roles. This will highlight your ability to ensure accurate data interpretation, which is vital for the job.
✨Engage with the Research Teams
Since liaising with research teams is part of the job, think about how you can demonstrate your collaborative skills. Be ready to discuss any past experiences where teamwork led to successful outcomes, especially in a data-driven environment.