R&D Actuarial Student/Qualified Actuary

TN United Kingdom; London; On-site; GBP 30,000 - 60,000; Full time

Job summary

An innovative life reinsurer is seeking a Research & Development Actuarial student or qualified actuary to join their dynamic London team. This role offers the opportunity to contribute to the management and delivery of cutting-edge reinsurance solutions, develop pricing and product structures, and leverage automation for enhanced efficiency. Ideal candidates will possess strong coding skills and experience in statistical packages, making this a perfect fit for those passionate about combining actuarial science with technology. Join a forward-thinking company and make a significant impact in the actuarial field!

Qualifications

• Actuarial qualification or student status required.
• Experience in coding and statistical packages is essential.

Responsibilities

• Provide technical input for reinsurance solutions.
• Develop pricing and product structures.
• Support pricing and product teams with technical modelling.

Skills

Coding

Statistical Packages

Programming

Technical Modelling

Education

Actuarial Qualification

Actuarial Student

Job description

Social network you want to login/join with:

R&D Actuarial Student/Qualified Actuary, London

Client:

pmactuarial

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

Job Views:

9

Posted:

26.04.2025

Expiry Date:

10.06.2025

Job Description:

We have been asked to find a Research & Development Actuarial student/Qualified Actuary on behalf of a life reinsurer.

The key responsibilities of the role will be:

1. Provision of technical input into the management and delivery of reinsurance solutions
2. Development of pricing and product structures
3. Use of automation for efficiency and innovation
4. Technical modelling support to pricing and product teams.

The ideal candidate will be an Actuarial student or someone who has already qualified. The role would suit someone who enjoys working with IT and has good experience of coding, statistical packages, and programming from either work or academics. Previous modelling/model development experience would be highly desirable.