Actuary: Data & Modelling

To enhance the financial performance of Capitec Insurance through:

• Strategic implementation of the actuarial modelling environment across the insurance business to provide Capitec with a competitive edge.
• Automation and continuous improvement of the valuation and reporting process.
• Developing and maintaining the actuarial models and data infrastructure, including data models, risk scoring models, regression models and valuation models.
• Building and maintaining predictive models to support policyholder risk scoring (e.g., for lapses, mortality, retrenchment).
• Conducting experience investigations and supporting pricing activities based on rich internal data insights.

• Valuations Process Automation & Improvement
• Risk Scoring & Predictive Modelling
• Actuarial Systems, Data and Model Development
• Pricing Support and Assumption Setting
• Stakeholder Engagement & Technical Enablement

• Honours Degree in Actuarial Science or Mathematics

• Actuarial Society of South Africa Technical Member (TASSA) / Actuarial Society of South Africa Fellow (FASSA / CERA)

Experience
MINIMUM:

• Minimum 6 years of insurance industry experience, ideally with both life and general insurance exposure.
• Experience in building statistical or predictive models (GLMs, regression).
• Experience with cloud-based platforms such as AWS.
• Some pricing, valuations, reporting and or capital management experience.

IDEAL:

• Experience with IFRS17 and reporting software.
• Experience with actuarial modelling software, such as FIS Prophet.
• Experience with working in a team with multiple deliverables.
• Experience in working with data visualisation technologies (Power BI, etc.).
• Background in general insurance pricing or reserving would be advantageous.

Knowledge
MINIMUM:

• Strong Python coding ability for model development.
• SQL proficiency for accessing and managing data.
• Solid understanding of insurance data, policyholder behaviour, and model deployment principles.
• Knowledge of data management software and its use across the insurance value chain.
• General knowledge in actuarial principles, standards, tools, systems, models and methodologies.
• General knowledge of the life and/or short-term insurance industry and landscape.
• Knowledge and understanding of regulatory and legal requirements related to insurance.

IDEAL:

• Familiarity with IFRS 17, Financial Soundness Standards for Insurers.
• Some coding on FIS Prophet or other actuarial/statistical modelling software.
• Relevant knowledge of actuarial modelling and data infrastructure.
• Relevant knowledge of valuations/reporting and/or capital management.

• Analytical Skills
• Attention to Detail
• Commercial Thinking Skills
• Communications Skills
• Interpersonal & Relationship management Skills
• Numerical Reasoning skills

• Clear criminal and credit record