Knowledge & Work Experience

• Understanding of general insurance principles and familiarity with statistical modelling, data analysis, and quantitative problem-solving techniques. 

• Awareness of the regulatory and business environment within the insurance industry. 

• Prior actuarial or insurance industry experience is desirable but not mandatory. 

• Internship, industrial attachment, academic projects, or practical experience involving data analysis, statistical modelling, or insurance related work will be an added advantage.

Academic and Professional Qualifications required

• Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, or a related quantitative field. 

• Progress towards a recognized actuarial qualification (SOA, IFoA, CAS, or equivalent), with at least one actuarial examination passed being an added advantage. 

• Demonstrated proficiency in quantitative analysis and use of analytical software tools.

• Support the preparation of actuarial analyses relating to pricing, reserving, portfolio performance, and profitability.  

• Assist in the development, maintenance, and enhancement of actuarial models and analytical tools.  

• Perform data extraction, validation, and analysis to support actuarial investigations and business decision-making.  

• Support pricing reviews and contribute to the assessment of rate adequacy across business lines.  

• Assist in monitoring portfolio experience and identifying company and industry trends in claims, premiums, expenses, and other key performance indicators.  

• Contribute to the development of new products and enhancement of existing products.  

• Prepare actuarial reports, management information, and regulatory submissions as required.  

• Collaborate with underwriting, finance, operations, and other business units to provide actuarial insights and support.  

• Ensure actuarial work complies with applicable regulatory requirements, professional standards, and company policies.  

• Participate in initiatives aimed at improving actuarial processes, data quality, automation, and reporting efficiency