AI Actuarial Automation Specialist vs AI Revenue Intelligence Analyst

A AI Actuarial Automation Specialist Only

• Actuarial reserving and pricing fundamentals (chain-ladder, Bornhuetter-Ferguson, GLM-based pricing)
• Probability, statistics, and stochastic modeling for insurance risk
• Python programming with Pandas, NumPy, scikit-learn, and PyTorch for tabular/sequential modeling
• SQL and data engineering for large-scale policy, claims, and exposure datasets
• Machine learning model development and validation (XGBoost, neural nets, calibration techniques)
• Large Language Model applications: prompt engineering, RAG pipelines, fine-tuning for domain-specific tasks
• MLOps and model lifecycle management (MLflow, Airflow, Docker, CI/CD for models)
• Regulatory and governance frameworks (Solvency II, IFRS 17, ORSA, Model Risk Management)