At a Glance
- Tasks: Join our team to enhance and develop longevity models and data products.
- Company: Emerald Group Ltd is a leading firm in the longevity and pension risk transfer sector.
- Benefits: Enjoy flexible working options and a collaborative team environment.
- Why this job: Make an impact in a growing field while working with experts in longevity modelling.
- Qualifications: You need extensive experience in R programming and analytical problem-solving.
- Other info: This role requires a valid EU work permit.
The predicted salary is between 48000 - 72000 £ per year.
Location: London, United Kingdom
Job Category: Other - EU work permit required: Yes
Job Reference: 5cd705101509
Posted: 02.06.2025
Expiry Date: 17.07.2025
Overview
Key Duties (including but not limited to):
- Helping the team to maintain and enhance their existing suite of models and data products
- Helping to design and develop new features or new products and/or apply existing capabilities to new markets
- Building your understanding of the longevity and pension risk transfer domain with the support of their existing team of longevity specialists
- Development and maintenance of longevity modelling and software suite including developing sustainable code for complex algorithms
- Hands-on calibration of longevity models and publications to support their flagship products
Experience required:
- Extensive experience in data/analytical programming in R
- Extensive experience in problem solving within the data and analytical space
- Experience of working on complex projects to a strict deadline within a commercial environment
(Senior) Longevity Modeller – 27787 employer: JobFlurry
Contact Detail:
JobFlurry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Senior) Longevity Modeller – 27787
✨Tip Number 1
Familiarise yourself with the latest trends and developments in longevity modelling. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the longevity and pension risk transfer domain. Attend relevant conferences or webinars, and connect with industry experts on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 3
Brush up on your R programming skills, especially focusing on data analysis and modelling techniques. Consider working on personal projects or contributing to open-source projects to showcase your expertise.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving scenarios related to data analytics. Use online resources or mock interviews to refine your approach and demonstrate your analytical thinking.
We think you need these skills to ace (Senior) Longevity Modeller – 27787
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Senior Longevity Modeller. Familiarise yourself with longevity modelling, pension risk transfer, and the specific skills required, such as data programming in R.
Tailor Your CV: Customise your CV to highlight relevant experience in data/analytical programming and problem-solving. Emphasise any previous work on complex projects and your ability to meet strict deadlines, as these are crucial for this role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for longevity modelling and your understanding of the industry. Mention specific projects or experiences that demonstrate your expertise and how they align with the company's goals.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at JobFlurry
✨Showcase Your Technical Skills
Make sure to highlight your extensive experience in data and analytical programming, particularly in R. Be prepared to discuss specific projects where you've successfully applied these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Longevity Domain
Familiarise yourself with the longevity and pension risk transfer domain before the interview. Showing that you have a grasp of the key concepts and current trends will impress the interviewers and indicate your genuine interest in the field.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities within the data and analytical space. Prepare examples from your past experiences where you tackled complex challenges, especially under tight deadlines, to illustrate your critical thinking skills.
✨Demonstrate Team Collaboration
Since the role involves working closely with a team of longevity specialists, be ready to discuss your experience in collaborative environments. Share examples of how you've contributed to team projects and how you can enhance the existing suite of models and data products.