Posted on: 02 June 2025
ID 938648

Actuary: Data & Modelling

Job description:

Purpose Statement 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.


Key Tasks amd Responsibilities
  • Valuations Process Automation & Improvement
  • Risk Scoring & Predictive Modelling
  • Actuarial Systems, Data and Model Development
  • Pricing Support and Assumption Setting
  • Stakeholder Engagement & Technical Enablement
Education (Minimum)
  • Honours Degree in Actuarial Science or Mathematics
Education (Ideal or Preferred)
  • Actuarial Society of South Africa Technical Member (TASSA) / Actuarial Society of South Africa Fellow (FASSA / CERA)
Knowledge and Experience 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.
Skills
  • Analytical Skills
  • Attention to Detail
  • Commercial Thinking Skills
  • Communications Skills
  • Interpersonal & Relationship management Skills
  • Numerical Reasoning skills
Additional Information
  • Clear criminal and credit record
Occupation:
Finance jobs


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