Within the Group P&C Retail Insurance and Technical Control , we are looking for a talented and proactive resource to join the team. Key responsibilities of the role will include: Periodic performance monitoring of P&C portfolios: Design, implement and enhance metrics and monitoring tools to help provide insights in managing the business Build advanced forward‑looking models for P&C retail insurance (motor / non‑motor) able to identify any deviations from the plan Develop optimized data models supporting analytics and reporting Create dashboards to summarize main findings Present and communicate modeling results and recommendations Ensure governance, security and best practices for data management Support to Business units: Helping BUs in defining actions/projects based on the findings of periodic monitoring and supporting them to successfully implement/carry‑out these actions and projects Contribute to the development of Forward‑looking Modeling Best Practices Requirements Master’s degree in Actuarial Science, Computer Science, Engineering, Mathematics, Physics, Statistics, or other quantitative fields Minimum 5 years’ actuarial experience in P&C retail with good knowledge of main P&C products Advance SQL / Database Querying: multi‑step queries, analytical functions, performance optimization Proficient in Python for data manipulation (analysis, automation, and development of analytical/ML models supporting actuarial and business intelligence needs), ETL workflows, and machine learning model development Dashboards design and KPI Modeling: Experience in designing and maintaining dashboards (Power BI, DAX, data modeling), delivering clear insights for business steering Cloud Platforms (AWS): Familiarity with AWS services for data storage, ETL workflows, and analytical solution deployment Fluency in both written and spoken English Soft Skills Strong analytical mindset with proven ability to manage complex P&C datasets and apply rigorous actuarial and data‑driven methodologies; Solution‑oriented, independent, flexible and proactive #J-18808-Ljbffr