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- Tasks: Prepare Excess of Loss layers and present data insights to clients.
- Company: Leading reinsurance consultancy with a supportive work culture.
- Benefits: Professional development opportunities and hybrid work flexibility.
- Why this job: Join a dynamic team and make an impact in the reinsurance industry.
- Qualifications: Strong analytical skills, proficiency in Python and SQL, excellent communication.
- Other info: Ideal for those with a background in Mathematics or Computer Science.
The predicted salary is between 36000 - 60000 £ per year.
A leading reinsurance consultancy based in London is seeking a talented individual to join their Analytics team. This hybrid role involves preparing Excess of Loss layers, calculating pricing metrics, and presenting data insights to clients.
Ideal candidates will have:
- Strong analytical skills
- Proficiency in Python and SQL
- Excellent communication abilities
The role offers professional development opportunities and a supportive work culture. Candidates with a background in Mathematics or Computer Science are preferred.
Reinsurance Analytics Lead Hybrid London employer: Guy Carpenter
Contact Detail:
Guy Carpenter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reinsurance Analytics Lead Hybrid London
✨Tip Number 1
Network like a pro! Reach out to people in the reinsurance industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your analytical projects, especially those involving Python and SQL. This will give you an edge when discussing your experience.
✨Tip Number 3
Practice your presentation skills! Since you'll be presenting data insights to clients, being able to communicate complex information clearly is key. Try explaining your past projects to friends or family.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it shows you're genuinely interested in joining our team and contributing to our supportive work culture.
We think you need these skills to ace Reinsurance Analytics Lead Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with Python and SQL. We want to see how your background in Mathematics or Computer Science makes you a great fit for the role!
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for analytics and reinsurance. Tell us why you're excited about this hybrid role and how you can contribute to our team.
Showcase Your Communication Skills: Since presenting data insights is key, include examples of how you've effectively communicated complex information in the past. We love seeing candidates who can bridge the gap between data and clients!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Guy Carpenter
✨Know Your Numbers
Brush up on your analytical skills and be ready to discuss specific metrics you've worked with. Since the role involves preparing Excess of Loss layers, make sure you can explain how you approach pricing calculations and what tools you use.
✨Show Off Your Coding Skills
As proficiency in Python and SQL is key, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Communicate Clearly
Since presenting data insights to clients is part of the job, practice explaining complex concepts in simple terms. Think about how you would convey your findings to someone without a technical background, and be prepared for questions.
✨Cultural Fit Matters
Research the company’s work culture and values. Be ready to discuss how your background in Mathematics or Computer Science aligns with their goals. Show enthusiasm for professional development opportunities and how you can contribute to a supportive team environment.
