Actuarial and Financial Risk Modeling

Overview

Apply statistical modeling to uncertain outcomes where distributional assumptions, exposure, dependence, tail behavior, calibration, and decision consequences matter. The skill is methodology-first: it teaches model selection and evidence, not a particular library or rating formula.

When to Use

Load this skill when the task involves:

• insurance pricing, claims, reserving, solvency, risk classification, or experience rating;
• claim frequency, severity, pure premium, medical expenditure, loss, or event-time outcomes;
• linear, generalized linear, two-part, count, survival, panel, longitudinal, or tail models;
• financial returns, volatility, portfolio loss, risk measures, or scenario output;
• calibration, forecast evaluation, backtesting, model comparison, or assumption diagnosis;
• explaining model results, uncertainty, limitations, or use controls to decision-makers.