About the job Reserving and Corporate AI ActuaryReserving and Corporate AI ActuaryMinimum Requirements:
Matric (Grade 12)
Honours degree in Actuarial Science
Fellow of the Actuarial Society of South Africa (FASSA)
Responsibilities:
Reserving estimation:
Lead the development, enhancement and implementation of robust reserving processes and methodologies using actuarial and advanced modelling techniques.
Monitor experience and assess reserve adequacy, making enhancements as necessary based on emerging data and trends.
Use data analytics to analyze historical experience to assist Senior
Management with strategic decision-making processes.
Stay updated with and ensure compliance to the relevant regulatory
Serve as the AI Champion for the Corporate Actuarial team, identifying and implementing opportunities to integrate artificial intelligence and machine learning techniques into actuarial processes.
Collaborate closely with the wider Company Insure AI and Operational
Analytics teams to develop and implement AI solutions that enhance actuarial models, data analysis, and decision-making processes.
Lead and provide guidance on AI-related initiatives within the Corporate
Actuarial function.
Leadership and Innovation
Define and articulate a strategic vision for the future development of the reserving function, incorporating advancements in technology, analytics, and regulatory requirements.
Lead initiatives to streamline processes and enhance the scalability of reserving methodologies, ensuring readiness for business growth and expansion into new markets.
Champion innovation and collaboration within the actuarial team, fostering a culture of continuous improvement and knowledge sharing.
Stakeholder Engagement
Collaborate with underwriting, finance, claims and pricing teams to optimize the reserving process and provide feedback into strategic decision-making processes.
Manage deliverables and relationships with external audit, Head of Actuarial Function, Group Risk and the Prudential Authority.
Presentations to the Actuarial Committee and Senior Management on model enhancements and financial results.