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- Tasks: Support catastrophe modelling analyses and develop innovative analytics capabilities.
- Company: Join Willis Re, a leader in reinsurance analytics and modelling.
- Benefits: Gain hands-on training, structured development, and exposure to diverse client activities.
- Other info: Collaborative culture with opportunities for growth and learning new technologies.
- Why this job: Kickstart your career in a dynamic environment with real impact on risk management.
- Qualifications: Degree in a quantitative field and strong Excel skills required.
The predicted salary is between 28000 - 35000 £ per year.
We are looking for a Catastrophe Analyst to join our growing Analytics team. This is an excellent opportunity to begin a career in catastrophe modelling and reinsurance analytics, with hands-on training, structured development, and exposure to a wide range of client and market activities.
You will contribute to delivering high-quality analyses and supporting the development of innovative analytics capabilities. Working alongside experienced modellers, brokers, and research experts, you’ll gain insight into how catastrophe models and other tools are used and developed to help clients understand and manage their risk.
Key responsibilities include:- Supporting the delivery of catastrophe modelling analyses for reinsurance placements, portfolio reviews, and client advisory work.
- Assisting in the development and maintenance of modelling workflows, processes, and reporting tools.
- Helping prepare clear and concise analytics submission packs that communicate key insights.
- Contributing to quality assurance checks to ensure accuracy and consistency across deliverables.
- Learning to interpret and present model outputs to internal stakeholders such as brokers and senior analysts as well as directly to clients.
- Working with the Willis Research Network’s Model Research Team to understand model updates and emerging research.
- Providing support for clients’ regulatory and internal reporting requirements (e.g., Solvency II, Lloyd’s RDS).
- Staying curious about new tools, technologies, and methodologies that can enhance our analytics offering.
- A degree in a quantitative, analytical, scientific, or engineering discipline (e.g., Maths, Physics, Engineering, Earth Sciences, Geography, Data/Computer Science, Economics).
- Strong Excel skills and confidence working with data.
- An interest in natural hazards, risk, and the insurance and reinsurance industry.
- Ability to communicate analytical findings clearly to different audiences.
- Willingness to learn catastrophe modelling software and new technical skills.
- Enjoys working collaboratively in a fast-paced environment.
- Familiarity with SQL or another data manipulation language.
- Familiarity with data visualization tools like Tableau and/or PowerBI.
- Basic coding experience (Python, R, or similar).
- Exposure to GIS or geospatial data.
- Interest in automation, AI tools, or workflow optimisation.
- Awareness of reinsurance structures or financial risk concepts.
Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories.
Entry Level Catastrophe Analyst employer: Willis Re Bermuda
Contact Detail:
Willis Re Bermuda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Entry Level Catastrophe Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the catastrophe modelling and reinsurance field on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss Excel, data manipulation, and any coding languages you’ve dabbled in. We want you to shine when they ask about your analytical prowess!
✨Tip Number 3
Show your enthusiasm for learning! During interviews, express your eagerness to dive into catastrophe modelling software and new technologies. We love candidates who are curious and ready to grow with us in this fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Willis Re. Let’s get you started on this exciting journey!
We think you need these skills to ace Entry Level Catastrophe Analyst
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your degree and any relevant skills, especially in Excel and data analysis. We want to see how your background fits with the role of a Catastrophe Analyst!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific responsibilities and requirements mentioned in the job description. It shows us you’re genuinely interested.
Be Clear and Concise: When preparing your application, clarity is key. Use straightforward language to communicate your experiences and insights. We appreciate well-structured submissions that get straight to the point!
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 in our Analytics team!
How to prepare for a job interview at Willis Re Bermuda
✨Know Your Numbers
Brush up on your quantitative skills, especially in Excel. Be ready to discuss how you've used data in your studies or previous roles. This will show your analytical mindset and readiness for the role.
✨Show Your Curiosity
Demonstrate your interest in natural hazards and the insurance industry. Prepare a few questions about current trends or tools in catastrophe modelling. This shows you're not just looking for any job, but are genuinely interested in this field.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You might be asked to present findings or insights during the interview, so being able to communicate effectively with different audiences is key.
✨Familiarise Yourself with Tools
If you have experience with SQL, Tableau, or coding languages like Python, be prepared to discuss it. Even if you're still learning, showing that you're proactive about gaining these skills can set you apart from other candidates.