Requirements: Bachelor’s degree (or foreign equivalent) in Actuarial Mathematics, Statistics, Management, or related; 5 years of experience as a Senior Associate, Analyst, Supervisor, or a related position, which must include: Extracted, cleaned, and prepared large actuarial datasets using SQL and Python to support machine learning models, improving churn prediction and customer lifetime value (CLV) analysis in collaboration with data scientists and engineers. Developed automated data pipelines and dashboards using Tableau, Alteryx, and Power BI, streamlining claims analysis and financial reporting processes for MGAs, insurers, and warranty programs.