Senior Actuary - Experience Investigations

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job Summary

• Drive delivery of experience investigations and assumption setting, including 1st line quality assurance
• Drive improvements in investigation techniques including statistical tests; data quality and structures; and implementation of machine learning capabilities to support setting of assumptions.
• Drive implementation and adoption of modern and robust tools, including AI capabilities where appropriate.
• Research on macro environment, and where appropriate international trends

• Drive development of management information that results in business action

• Develop robust controls to ensure assumptions are accurately reflected across the insurance value chain.
• As a senior member in the Corporate Actuarial team, collaborate and own deliverables where required to deliver top priorities for the broader team

• Responsibilities to support talent development including exam progression of students
• Leading a team of actuarial students
• Deliver to requirements of internal stakeholders, including business line CFOs, Exco, and Board committees.

• Collaboration with and delivering requirements for external stakeholders i.e. HAF, auditors, cell captive businesses etc.

• Drive a culture of continuous improvement

• Mitigate key-people risk dependencies

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• Bachelor's Degree: Actuarial Science
• Qualified Fellow Actuary

• 7+ years’ experience in corporate actuarial life office valuations.
• Preference will be given to candidates in line with the Group’s employment equity policy.
• Experience and exposure to machine learning and AI would beneficial

Education