Risk

• Redesign annualized risk frameworks using Monte Carlo simulation and Bayesian models.
• Develop and validate probabilistic models that propagate uncertainty from various factors.
• Build calibrated prediction systems where stated confidence intervals accurately reflect true uncertainty.
• Optimize weather day selection algorithms using information-theoretic approaches.
• Apply extreme value theory to better characterize tail risks from rare weather events.

Senior Bayesian Risk Modeler

Risk Analyst

Risk Analyst – Casualty

Employee Benefits, Risk Advisor

Risk Advisor – Employee Benefits

PRN Nurse Practitioner – Per Visit Health Risk Assessments