Actuarial Analyst (Prining)

Key Responsibilities:

• Collect, clean, and prepare data from multiple sources using SQL and Python
• Perform advanced data analysis using statistical and machine learning techniques
• Build, test, deploy, and maintain predictive pricing models under guidance
• Support underwriting risk management, pricing strategy, and risk segmentation
• Develop and maintain management information and reporting dashboards (Power BI)
• Communicate insights clearly through reports, visualisations, and presentations
• Contribute to automation and continuous improvement of risk and pricing systems

Job Experience and Skills Required:

• Bachelor’s degree in Actuarial Science or a related discipline
• Progress toward or completion of A100 and A200 actuarial exams

• Minimum 3 years’ experience within the short‑term insurance industry
• Exposure to pricing (advantageous)
• Experience working with actuarial or risk models

• Strong mathematical, statistical, and analytical ability
• Proficiency in Python and SQL
• Experience with Power BI or similar data visualisation tools
• Knowledge of statistical modelling and machine learning techniques
• Attention to detail, strong documentation, and reporting capability
• Ability to manage multiple workstreams and meet deadlines
• Strong communication and stakeholder engagement skills