Evaluate and optimize portfolio performance through detailed loss ratio and combined ratio analysis
Conduct comprehensive portfolio risk assessments using statistical models and AI-driven techniques
Focus on catastrophe modeling and exposure management, enhancing traditional modeling using machine learning techniques
Leverage AI/ML techniques to automate actuarial workflows and improve predictive modeling

Bachelor’s or Master’s degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related field
Progress toward actuarial certification (e.g., IFoA, SOA, or equivalent) preferred
2–8 years of experience in actuarial analysis, risk management, or insurance analytics
Strong expertise in loss ratio and combined ratio analysis
Proven experience in portfolio risk assessment and risk modeling
Hands-on experience with catastrophe modeling tools and exposure management frameworks
Proficiency in programming (Python/R) and data visualization tools
Familiarity with machine learning techniques and their application in insurance
Strong problem-solving skills and ability to communicate complex insights to non-technical stakeholders.

Risk & Actuarial AI Expert

Key skills