Senior Actuarial Analyst | Sandton
Key Responsibilities:
- Business Requirements & Stakeholder Engagement: Identify root-cause business requirements, develop clear technical solutions, and maintain proactive communication with internal actuarial and external business stakeholders.
- Data Collection & Reconciliation: Extract, verify, and reconcile complex data across multiple sources against credible financial benchmarks, ensuring sign-off from the Technical Manager before modeling.
- Actuarial Modeling & Deployment: Develop, maintain, and monitor fit-for-purpose actuarial models. Conduct sensitivity and impact analyses to translate pricing changes into business insights regarding profitability and policy growth across various distribution channels.
- Insights & Reporting: Translate model performance and monitoring results into clear, accessible insights for business decision-making and presentation to actuarial management.
- Mentorship & Leadership: Mentor and coach junior analysts on technical actuarial practices, data cleaning, aggregation, and model building. Translate organizational goals into actionable local team plans.
- Continuous Improvement & Innovation: Research and implement modern modeling techniques, feature engineering, and efficient data processes to continuously enhance model accuracy.
- Compliance: Ensure strict adherence to organizational policies, relevant regulatory codes, and the professional standards set by the Actuarial Society of South Africa (ASSA).
- Degree: Bachelor’s or Honours degree in Actuarial Science or a related quantitative field (Essential).
- Professional Progression: Qualified Actuary or making solid, steady progression toward an actuarial qualification (Essential).
- Industry Experience: Minimum of 2+ years of actuarial experience within a Short-Term Insurance (STI) environment (Essential).
- Supervisory Experience: 1+ years of experience in supervising, coaching, or mentoring junior team members (Essential).
- Strong proficiency in actuarial and statistical modeling software, data mining, and advanced Microsoft Office.
- Deep foundation in advanced mathematical and statistical concepts, financial modeling, and data management.
- Excellent verbal, written, and presentation skills with the ability to communicate complex concepts to non-actuarial audiences.
- Action-oriented problem solver skilled at managing complexity, ambiguity, and multi-stakeholder expectations.