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- Tasks: Support catastrophe risk management and enhance decision-making through data analytics.
- Company: Join a leading reinsurance firm in London with a focus on innovation.
- Benefits: Enjoy competitive salary, generous leave, health insurance, and learning opportunities.
- Why this job: Make a real impact in the reinsurance industry while developing your analytical skills.
- Qualifications: 2-4 years experience with catastrophe models; strong analytical and communication skills.
- Other info: Collaborative 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.
Skills Knowledge and Expertise
- 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.
Benefits
- 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 employer: Convex
Contact Detail:
Convex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Exposure Management Analyst, Reinsurance
✨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 bring value to the team, so share specific examples of your past work and how it relates to the role.
✨Prepare for the Interview
Do your homework before the interview! Understand the company’s approach to exposure management and be ready to discuss how you can contribute. We recommend practising common interview questions and preparing some insightful questions of your own to show your interest.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s make it happen!
We think you need these skills to ace Exposure Management Analyst, Reinsurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Exposure Management Analyst role. Highlight your experience with catastrophe models and any relevant analytical skills. We want to see how your background aligns with our needs!
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 you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Skills: Don’t forget to showcase your technical skills, especially in SQL, R, or Python. If you've worked on projects that involved data analysis or modelling, let us know! We’re keen to see how you can bring your expertise to the table.
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 don’t miss out on any important updates. Plus, it’s super easy!
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, especially in the context of reinsurance. Be ready to discuss how you've used these models in the past and how they can impact decision-making in exposure management.
✨Show Off Your Analytical Skills
Prepare to demonstrate your analytical prowess. Bring examples of how you've tackled complex data sets or modelling challenges before. This could be through SQL, R, or Python – whatever you're most comfortable with, make it shine!
✨Communicate Clearly
Since strong communication is key for this role, practice explaining complex concepts in simple terms. Think about how you would bridge the gap between underwriters and modelling teams, and be ready to showcase your ability to foster collaboration.
✨Be a Team Player
Highlight your collaborative nature during the interview. Share experiences where you've worked effectively within a team, especially in cross-functional settings. This will show that you understand the importance of teamwork in achieving common goals.