Zimnat General Insurance

Mar, 2026 - Present  •  6 mos 29 days  -  Full time

• Motor Claims Loss Ratio: Engineered DNN-based claims prediction model that reduced motor claims loss ratio from 75% to 55% — a 20pp improvement enabling risk-specific underwriting and directly improving portfolio profitability.
• AI Automation: Deployed on-premise AI agent workflows (n8n, LangChain, custom APIs) across 9 operational processes, recovering 12 hours/week of staff capacity and eliminating manual data handling risk.
• Data Infrastructure: Architected star-schema EDW with full ETL pipeline consolidating all Zimnat Group subsidiaries — delivering cross-sell analytics and market intelligence across 7 business units for the first time.
• IFRS 17: Project-led end-to-end IFRS 17 implementation, delivering compliant management accounts 2 weeks ahead of the regulatory deadline; enhanced board-level reporting transparency across all product lines.
• BI & Stakeholder Reporting: Built Power BI and Tableau dashboards delivering real-time underwriting, risk, and claims insights to 12 senior stakeholders; reduced manual reporting cycle from weekly to real-time.
• Reinsurance Optimisation: Restructured reinsurance programme design, reducing net retention risk on the motor and property portfolios and improving risk-adjusted returns.
• Data Governance: Architected and deployed enterprise data governance and data protection framework, establishing organisation-wide data quality standards and ensuring full regulatory compliance.
• Actuarial Valuations: Conducted ZiCARP and actuarial reserve valuations across 9 product lines, ensuring regulatory compliance and supporting technical reserve accuracy.