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- Tasks: Support the Exposure Management team in managing catastrophe risk and enhancing data analytics.
- Company: Join a leading reinsurance firm with a focus on innovation and collaboration.
- Benefits: Enjoy competitive salary, generous leave, health cover, and learning opportunities.
- Why this job: Make an impact in risk management while developing your analytical skills.
- Qualifications: 2-4 years experience with catastrophe models; strong analytical and communication skills.
- Other info: Dynamic team environment with excellent career growth and development prospects.
The predicted salary is between 36000 - 60000 £ per year.
The Exposure Management (EM) function creates a competitive advantage through industry-leading Decision Making enabled by comprehensive data and cross-functional analytics.
You will be supporting the Convex Exposure Management (EM) team in the management of catastrophe risk, specifically with regards to reinsurance. Using the catastrophe vendor model, you will liaise regularly with the third-party modelling team, ensuring queries are answered, processes are followed and providing help and guidance where needed. You will ensure the integrity of the model output and work towards continual improvement of processes. Engaging actively with the Underwriters, you will bridge the gap between underwriting and the third-party modelling team, resulting in increased transparency of modelling and analytics.
Key Responsibilities- Maintaining an excellent relationship with third-party modelling team, answering queries and providing ongoing guidance.
- Supporting the Reinsurance Lead to ensure accurate and timely completion of BAU tasks, focused on Property Reinsurance.
- Communication with the Underwriters on modelling queries and explanations, ensuring a high level of confidence.
- Maintaining the EM BAU workflow.
- Peer reviewing third party output, providing teaching and recommend improvement strategies where necessary.
- Getting involved with quarterly roll-ups, including checking outputs and explaining changes to UWs.
- Completing BAU tasks when required to ensure the timely turnaround of regular reporting.
- Completing ad-hoc analytics requests.
- Assist the EM team with ongoing projects, including collaboration projects with wider Analytics.
- 2-4 years experience using a third-party catastrophe model, ideally for reinsurance (though not essential).
- Highly analytical and a graduate in a scientific or numerate subject.
- A good grasp of the re/insurance market, re/insurance modelling complexities and catastrophe model methodology.
- Strong communication skills and a demonstrated ability to explain complex data and ideas.
- Team player and collaborative in nature.
- Efficient and organised worker with a mindset for continuous improvement.
- Proficient in SQL / R/ Python or other coding languages.
- Competitive Salary
- 30 days Annual Leave
- Birthday Leave
- 10% Employer Pension Contribution
- Private Health Insurance Medical Cover
- Group Income Protection
- Life Assurance Cover
- Enhanced Parental Leave
- Annual Health Check
- 3 days of Volunteer Leave each year
- 10 days of help with care (elder/ childcare) through Bright Horizons
- £1,300 to spend on learning & wellbeing
- Give as You Earn
- Cycle to Work
- Season Ticket Loan
Exposure Management Analyst, Reinsurance in London employer: Convex
Contact Detail:
Convex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Exposure Management Analyst, Reinsurance in London
✨Network Like a Pro
Get out there and connect with people in the reinsurance industry! Attend events, join online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your analytical skills and experience with catastrophe models. We want to see how you can bridge the gap between underwriting and modelling, so come prepared with examples of your past work!
✨Ask Questions
During interviews or networking chats, don’t hesitate to ask questions about the company’s approach to exposure management. This shows your genuine interest and helps you understand how you can contribute to their team. Plus, it gives you a chance to demonstrate your knowledge of the re/insurance market!
✨Apply Through Our Website
We encourage you to apply directly through our website for the Exposure Management Analyst role. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our awesome team!
We think you need these skills to ace Exposure Management Analyst, Reinsurance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Exposure Management Analyst. Highlight your experience with catastrophe models and any relevant analytical skills. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about reinsurance and how your background makes you a great fit for our EM team. Keep it engaging and personal.
Show Off Your Analytical Skills: Since this role is all about data and analytics, don’t shy away from showcasing your technical skills. Mention your proficiency in SQL, R, or Python, and give examples of how you've used these in past roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the best experience possible. We can’t wait to hear from you!
How to prepare for a job interview at Convex
✨Know Your Catastrophe Models
Make sure you brush up on your knowledge of third-party catastrophe models. Be ready to discuss how you've used them in the past and how they relate to reinsurance. This will show that you understand the technical side of the role and can engage with the modelling team effectively.
✨Communicate Clearly
Since strong communication skills are key for this position, practice explaining complex data in simple terms. You might be asked to clarify modelling queries during the interview, so being able to articulate your thoughts clearly will set you apart from other candidates.
✨Show Your Team Spirit
This role requires collaboration with various teams, so be prepared to share examples of how you've worked well in a team setting. Highlight any experiences where you bridged gaps between different departments, as this will demonstrate your ability to foster relationships and improve workflows.
✨Be Ready for Problem-Solving
Expect questions that assess your analytical skills and problem-solving abilities. Think of specific instances where you've tackled challenges in your previous roles, especially those related to data integrity or process improvement. This will showcase your proactive mindset and commitment to continuous improvement.