Jonathan TINKEU NGATCHOU

– Review of pricing and profitability for Leasys Italy motor fleet portfolio

– Implementation of pricing tools for multi-risk local authorities, association and commercial insurance products

– Defined the pricing renewal strategies – Built and deployed reporting tool to monitor strategic KPIs - average premium, conversion rate, churn rate- supporting portfolio profitability and business steering – Developed a pricing tool and conducted pricing implementation validation – Conducted analysis and implementation of car insurance portfolio transfers

– Modelled frequency and severity for roadside assistance coverage – Monitored and analyzed the profitability of the roadside assistance portfolio – Designed and implemented a KPI monitoring solution to support performance management

– Best estimate and claims reserves assessment (Chain-ladder method, Bornhuetter Ferguson, Loss ratio) – earnings and loss triangles – Annuities mathematical reserves – Analysed the gross and net combined ratio – Documented financial closing processes and deliverables – Expense ratio (including acquisition costs, claims handling costs and general administrative expenses) – Production and analytical review of Solvency II and IFRS17 financiel reporting

– Home insurance renewal: Business plan 2024-2026 – Monitored the personal liability insurance pricing – Analyzed and monitored home insurance excess

– Reviewed and monitored the commercial and technical price – Modelled flood and hail risk (risk zone maps) – Maximized the conversion rate of the portfolio under profitability constraint (Lagrange multipliers method and Monte Carlo method – LightGBM predictions) – Analyzed the competitors tariffs using benchmarks and reverse engineering

– Defined extreme claims threshold (mean excess plot) and modelled extreme bodily injury claims (LogitBoost) – Designed and priced the motor insurance product – Updated the probability distribution of disability maintenance and incidence – Best estimate and claims reserves assessment (Chain-ladder, Bornhuetter Ferguson, Loss ratio) – Combined ratio forecasting – Studied motor and life accident inflation – Monitored portfolio (ensured detection of deviations) and studied profitability

– Developed and reviewed home insurance commercial and technical price – Predictive modelling of severe fires (LogitBoost) – Developed and reviewed fleet insurance tariff – Performed fleet portfolio management – Maintained monthly dashboards – Analysed performance and identified areas of risk using GLM and Random Forest