Your question is Frequentist vs Bayesian Risk Modeling. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What are the differences between frequentist and Bayesian approaches in the context of risk modeling?
Explain how the approaches differ in parameter interpretation, uncertainty quantification, prior information, model updating, validation, and decision-making. Discuss when each approach is appropriate, including limitations such as prior sensitivity, model misspecification, computational cost, and data scarcity. Provide a concise risk-modeling example without assuming a specific institution, portfolio, dataset, or numerical result.