At a Glance
- Tasks: Analyse data, validate client information, and assess treaty performance for profitability.
- Company: Join a leading firm in the insurance and reinsurance sector.
- Benefits: Gain valuable experience, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance industry while developing your analytical skills.
- Qualifications: Progress towards actuarial or data analyst qualification; strong numerical skills required.
- Other info: Dynamic team environment with opportunities to work with advanced data tools.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Key Duties (Including but not limited to):
- Process and validate data received from clients including claims, premiums and settlement amounts
- Calculate the required collateral to be held for each reinsurance treaty
- Monitor treaty performance to assess profitability and ensure assumptions remain appropriate
- Carry out experience studies and impact analysis to support decision-making
Qualifications required:
- Progress toward an actuarial or data analyst qualification
Experience required:
- Comfortable working with numbers, analysing datasets, and interpreting results
- Excellent excel modelling skills
- Experience in insurance, reinsurance or pensions consulting
- Familiar with other data language/tools such as SQL, R or Python
Longevity Inforce Management Actuarial Analyst – 28983 in London employer: Emerald Group Ltd
Contact Detail:
Emerald Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Longevity Inforce Management Actuarial Analyst – 28983 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and reinsurance sectors on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on your dream job.
✨Tip Number 2
Brush up on your Excel skills! Since this role requires excellent modelling skills, consider doing a quick online course or tutorial. Show off your newfound skills in interviews to impress potential employers.
✨Tip Number 3
Prepare for those technical questions! Make sure you’re comfortable discussing your experience with data analysis tools like SQL, R, or Python. Practise explaining how you've used these tools in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your actuarial progress and relevant experience to stand out from the crowd.
We think you need these skills to ace Longevity Inforce Management Actuarial Analyst – 28983 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with numbers and data analysis, especially in insurance or reinsurance. We want to see how your skills match the key duties listed in the job description!
Show Off Your Excel Skills: Since excellent Excel modelling skills are a must, don’t shy away from showcasing any relevant projects or experiences where you’ve used Excel to analyse datasets. We love seeing practical examples!
Highlight Your Technical Know-How: If you’re familiar with SQL, R, or Python, make sure to mention it! We’re keen on candidates who can navigate different data languages and tools, so let us know how you’ve used them in your previous roles.
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 during the process!
How to prepare for a job interview at Emerald Group Ltd
✨Know Your Numbers
As an Actuarial Analyst, you'll be working with data all day long. Brush up on your numerical skills and be ready to discuss how you've handled datasets in the past. Be prepared to explain your thought process when analysing claims or premiums.
✨Excel is Your Best Friend
Make sure you're comfortable with Excel modelling. Before the interview, practice creating models that could relate to the role. You might even want to bring a sample of your work to showcase your skills and impress the interviewers.
✨Familiarise Yourself with SQL, R, or Python
If you have experience with any data languages or tools, be ready to talk about them. Brush up on key concepts and think of examples where you've used these tools to solve problems or analyse data. This will show your technical prowess.
✨Understand the Insurance Landscape
Since the role involves insurance and reinsurance, do some research on current trends and challenges in the industry. Being able to discuss these topics will demonstrate your genuine interest and understanding of the field, making you a more attractive candidate.