Life Reinsurance Actuarial Analyst β€” AI & Automation Builder

Life Reinsurance Actuarial Analyst β€” AI & Automation Builder

Full-Time 29700 - 36300 Β£ / year (est.) No working from home possible
Clarence George

At a Glance

  • Tasks: Value and manage life portfolios while automating processes for efficiency.
  • Company: Join a small, ambitious team at a Bermuda-based life reinsurer.
  • Benefits: Competitive salary, travel opportunities to Bermuda, and professional growth.
  • Other info: Dynamic work environment with opportunities for career advancement.
  • Why this job: Make an impact in the actuarial field with innovative AI and automation.
  • Qualifications: 1-3 years’ experience with mid-stage actuarial exams and R or Python skills.

The predicted salary is between 29700 - 36300 Β£ per year.

Clarence George in London seeks an actuarial professional to join a small, ambitious team within a Bermuda-based life reinsurer.

You will help value and manage life and annuity portfolios, and automate processes for efficiency and scalability.

The role targets 1–3 years’ experience with mid-stage actuarial exams and modelling in R or Python, with opportunities to travel to Bermuda as needed.

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Life Reinsurance Actuarial Analyst β€” AI & Automation Builder employer: Clarence George

As a leading Consultancy in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our Life Actuarial practice offers not only competitive salaries and comprehensive benefits but also unparalleled opportunities for professional growth through exposure to high-profile projects in the insurance sector. Join us to be part of a team that values your expertise and supports your career development in a vibrant city.

Clarence George

Contact Details:

Clarence George Recruitment Team

We think you need these skills to ace Life Reinsurance Actuarial Analyst β€” AI & Automation Builder

Actuarial Skills
Valuation of Life and Annuity Portfolios
Process Automation
R Programming
Python Programming
Modelling
Efficiency Improvement