Preview Questions Actuary | Role Specific Skill

Question 1: Which machine learning algorithm is most appropriate for predicting the probability of policyholder churn in the insurance sector?

Which action should you take?

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Support Vector Machines (SVM)

K-Nearest Neighbors (KNN)

Principal Component Analysis

Random Forest

Question 2: How does the Central Limit Theorem apply in actuarial work involving large datasets?

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It allows for predicting the outcome of all claim events

It allows for the approximation of the sample distribution to a normal distribution

It suggests that all data should be normally distributed

It ensures that the variance in claims data is minimized

Question 3: In actuarial modeling, when analyzing claim frequency, which type of distribution is most likely to be used?

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Normal distribution

Poisson distribution

Binomial distribution

Lognormal distribution

Question 4: When analyzing the persistence of insurance claims, which statistical technique would you use to model the time until a claim reoccurs?

Which action should you take?

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Cox Proportional Hazards Model

All of the above

Kaplan-Meier Estimator

Survival Analysis

Question 5: How does "Risk Classification" influence the pricing of life insurance products, and what factors are considered when grouping policyholders?

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Risk classification ignores individual factors and is based only on demographics

Risk classification helps determine premium rates based on individual risk factors like age, health, and occupation, ensuring actuarial fairness

Risk classification is irrelevant, as all policyholders pay the same premium

Risk classification is only necessary for health insurance products, not life insurance

Question 6: In liability-driven investment (LDI) strategies, what is the primary goal of aligning assets with liabilities?

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To maximize the portfolio's short-term return

To minimize exposure to interest rate and inflation risks

To create a portfolio that is risk-free

To reduce the risk of insolvency over the long-term