Actuarial Analyst

Are you passionate about data, analytics and innovation? Do you want to help shape the future of actuarial pricing through the use of advanced analytics, automation and AI?

We are looking for an Actuarial Analyst to join our Life & Structured Reinsurance Pricing team in Dubai. This is an exciting opportunity to work on a broad range of life and structured reinsurance solutions across the Middle East and Africa while developing your actuarial expertise in a dynamic and collaborative environment.

As part of one of the world's leading reinsurance companies, you will contribute to pricing, portfolio analysis and business insights, while supporting initiatives that drive efficiency, innovation and digital transformation across the actuarial function.

Your Role

• Support the pricing of individual life, group life and structured reinsurance opportunities across the Middle East and Africa.
• Analyse data and provide actuarial insights to support underwriting and pricing decisions.
• Develop and maintain pricing tools, actuarial models and portfolio monitoring solutions.
• Conduct experience studies, portfolio reviews and performance analyses.
• Support the development of automated solutions and AI-enabled tools to improve actuarial processes and decision-making.
• Collaborate with underwriting, client management and regional actuarial teams on business opportunities and strategic initiatives.
• Prepare technical analyses, presentations and reports for internal and external stakeholders.
• Contribute to projects focused on innovation, digitalisation and continuous improvement.
  
  
  

• University degree in Actuarial Science, Mathematics, Statistics, Data Science or a related quantitative discipline.
• Progress towards a recognised actuarial qualification (SOA, IFoA or equivalent).
• Relevant experience within insurance, reinsurance, actuarial consulting or a quantitative analytical role.
• Strong analytical and problem-solving skills with attention to detail.
• Proficiency in Microsoft Excel and an interest in programming languages such as Python, R or SQL.
• Knowledge of data analytics, automation tools and AI technologies would be an advantage.
• Excellent communication and interpersonal skills.
• Self-motivated, curious and eager to learn.
• Ability to work effectively both independently and as part of a multicultural team.