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A prestigious global life reinsurer is seeking a nearly qualified or qualified actuary to join their Research & Development team in a role focused on assumption development across both Protection and Longevity markets. This is an outstanding opportunity for an actuary looking to deepen their technical expertise whilst gaining exposure to cutting-edge actuarial research, experience analysis and assumption development. The role offers the chance to work on high-profile projects that directly influence pricing, product development and strategic decision-making across international markets. Working alongside experienced actuarial researchers, medical analytics specialists, data scientists and senior stakeholders, you will play a key role in developing the assumptions that underpin a wide range of life and health reinsurance solutions.
Job Responsibility
Contribute to the development of best estimate assumptions through data sourcing, experience analysis, statistical modelling and validation
Support the application of innovative actuarial techniques to assumption setting across Protection and Longevity portfolios
Provide challenge and insight to pricing assumptions and methodologies
Build strong working relationships with stakeholders across actuarial, pricing and product development teams
Contribute to actuarial research projects, internal analysis and thought leadership initiatives
Work closely with specialist teams including Medical Analytics and Data Science to develop market-leading insights
Support the development of junior colleagues and contribute to a collaborative and innovative team culture
Present technical findings and recommendations to a variety of audiences across the business
Requirements
Nearly qualified or qualified actuary (IFoA, SOA or equivalent)
Experience within life insurance, reinsurance or consultancy
Exposure to assumption development, experience analysis, pricing or actuarial modelling
Understanding of Protection and/or Longevity business
Strong analytical and problem-solving skills
Experience working with experience studies, trend modelling or actuarial investigations
Programming skills including SQL, R, Tyche or similar tools
Knowledge of statistical and actuarial techniques such as Generalised Linear Models (GLMs) and Survival Models
Strong communication and stakeholder management skills
Ability to work independently while managing multiple priorities and deadlines
Passion for innovation, continuous improvement and technical excellence