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“150”, Aptitude Test Questions and Answers for Actuarial Officer II -National Insurance Corporation (NIC).

 


“150”, Aptitude Test Questions and Answers for Actuarial Officer II -National Insurance Corporation (NIC).

 

ABSTRACT

This preparation package provides 150 premium multiple-choice aptitude test questions and answers designed for candidates preparing for the Actuarial Officer II – National Insurance Corporation (NIC) Public Service online aptitude test in Tanzania. The questions assess key areas of actuarial science, including probability, statistical analysis, risk assessment, actuarial modelling, claims experience analysis, investment performance, liabilities, forecasting, data interpretation, and insurance risk management. Particular emphasis is placed on practical reasoning, closely related answer choices, numerical analysis, interpretation of actuarial information, and decision-making in an insurance environment. The questions are structured to reflect the analytical and challenging nature of competitive public service aptitude examinations and are intended to strengthen candidates' understanding, accuracy, critical thinking, and ability to apply actuarial concepts under examination conditions.

 

Prepared by: Actuarial Officer II

An author based in Dar-es-salaam.

0628729934.

Date: August 11, 2026

 

Dear applicants,

This collection of questions and answers has been prepared to help all of you to understand the key areas tested during the interview. The goal is to provide a useful, and practical study guide so you can all perform confidently and fairly in the selection process. I wish you the best of luck, and may this resource support you in achieving success!

 

Warm regards,

Actuarial Officer II

 

For Personal Use by Applicants Preparing for Actuarial Officer II -National Insurance Corporation (NIC).

 

ALL QUESTIONS ARE COMPILED TOGETHER.

1. An insurance portfolio contains 10,000 independent policies. Each policy has a 2% probability of generating a claim during a particular year, with each claim costing exactly TZS 500,000. Assuming the probabilities remain constant, what is the expected total claim cost for the portfolio?

A. TZS 50 million  B. TZS 100 million  C. TZS 125 million  D. TZS 200 million

Answer: B

Rationale: The expected number of claims is obtained by multiplying the number of policies by the probability of a claim: 10,000 × 0.02 = 200 expected claims. Since each claim costs TZS 500,000, the expected total claim cost is 200 × 500,000 = TZS 100,000,000. The important actuarial principle is that expected aggregate loss equals the expected frequency multiplied by the expected severity when the relevant assumptions permit this calculation.


2. An actuary observes that the probability of a claim from a particular policyholder is 0.30. The probability that the policyholder renews the policy is 0.80. If the probability of a claim and renewal occurring together is 0.24, what does this imply about the relationship between the two events?

A. They are mutually exclusive  B. They are conditionally dependent  C. They are statistically independent  D. They have equal occurrence rates

Answer: C

Rationale: Two events are independent when the probability of their joint occurrence equals the product of their individual probabilities. Here, P(claim) × P(renewal) = 0.30 × 0.80 = 0.24, which is exactly the stated joint probability. Therefore, the evidence is consistent with statistical independence. Mutual exclusivity would instead require the joint probability to be zero.


3. NIC is comparing two portfolios. Portfolio X has an expected annual return of 10% with a standard deviation of 4%, while Portfolio Y has an expected annual return of 12% with a standard deviation of 8%. If an analyst uses the coefficient of variation to compare risk per unit of expected return, which portfolio has the lower relative risk?

A. Portfolio X  B. Portfolio Y  C. Both portfolios  D. Neither portfolio

Answer: A

Rationale: The coefficient of variation is calculated as standard deviation divided by expected return. Portfolio X has a coefficient of variation of 4% ÷ 10% = 0.40, while Portfolio Y has 8% ÷ 12% ≈ 0.67. Therefore, Portfolio X has the lower relative variability per unit of expected return. This does not mean X has the higher absolute return; it means its risk is lower relative to the return being generated.


4. An insurance portfolio has claim frequencies that fluctuate considerably from year to year. The actuary discovers that the average claim frequency is stable, but individual annual observations vary around that average. Which statistical measure would most directly quantify the dispersion of annual claim frequencies around their mean?

A. Median  B. Conditional probability  C. Expected value  D. Variance

Answer: D

Rationale: Variance measures the average squared deviation of observations from their mean and therefore directly measures dispersion. The expected value describes the central tendency, while the median identifies the middle observation after ordering the data. Conditional probability measures the likelihood of one event given another and does not measure dispersion. In actuarial experience analysis, understanding both central tendency and variability is essential when evaluating uncertainty.


5. NIC retains a portion of each insurance risk but transfers losses above a specified amount to a reinsurer. What type of reinsurance arrangement is most closely described by this structure?

A. Proportional quota-share reinsurance  B. Excess-of-loss reinsurance  C. Facultative coinsurance arrangement  D. Aggregate premium-sharing arrangement

Answer: B

Rationale: Excess-of-loss reinsurance protects the insurer against losses exceeding a specified retention, with the reinsurer covering the amount above that retention subject to the terms of the contract. Unlike quota-share arrangements, the insurer does not necessarily transfer a fixed percentage of every loss. This form of reinsurance is particularly useful for protecting an insurer against large individual claims or defined layers of loss and can therefore support the management of severity and concentration risk.


6. An actuary develops a model using a historical dataset and divides the observations into training and validation samples. What is the primary purpose of the validation sample?

A. To increase the number of historical observations  B. To calculate the insurer's investment income  C. To assess how well the model performs on data not used for fitting  D. To guarantee that future predictions are correct

Answer: C

Rationale: A validation sample provides information that was not used to fit the model and can therefore help assess how well the model generalises beyond its fitting data. Good performance on historical training data alone may result from overfitting, where the model captures noise or highly specific historical patterns. Validation therefore provides an important check on model performance, although it cannot guarantee that future predictions will always be correct.


7. An insurance company receives TZS 100 million today and expects to pay TZS 110 million exactly two years later. If the annual effective discount rate is 5%, approximately what is the present value of the future payment?

A. TZS 95.24 million  B. TZS 99.77 million  C. TZS 104.76 million  D. TZS 110.00 million

Answer: B

Rationale: The present value is calculated by discounting the future payment using the effective annual rate: PV = 110 million ÷ (1.05)². Since (1.05)² = 1.1025, the present value is approximately TZS 99.77 million. This illustrates why future insurance cash flows cannot be compared directly with current amounts without considering the time value of money.


8. NIC observes that the actual number of claims during the year is substantially higher than the number predicted by its pricing model. Which actuarial activity would most directly investigate whether the underlying assumptions remain appropriate?

A.  Premium collection B. Investment allocation  C. Asset classification  D. Experience analysis

Answer: D

Rationale: Experience analysis compares actual observed outcomes with expected outcomes derived from actuarial assumptions. If actual claims materially exceed expected claims, the actuary would investigate whether claim frequency, severity, exposure characteristics or other assumptions have changed. This analysis may lead to recommendations for revising pricing, reserving or risk-management assumptions. It is therefore directly connected to the stated responsibility of monitoring and managing NIC's experience.


9. An actuary estimates the probability of a claim as 0.04 for each of 500 independent policies. What is the expected number of claims, and what is the variance of the number of claims under a binomial model?

A. 20 and 19.2  B. 20 and 20.0  C. 24 and 19.2  D. 24 and 24.0

Answer: A

Rationale: For a binomial distribution, the expected number of claims is np, while the variance is np(1 − p). Here, n = 500 and p = 0.04, giving an expected value of 500 × 0.04 = 20. The variance is 500 × 0.04 × 0.96 = 19.2. The distinction between expected value and variance is important because the former describes the average outcome while the latter describes the uncertainty around that average.


10. NIC is considering whether to transfer part of its insurance risk to another insurer. Which factor would be most important when assessing the effectiveness of the proposed risk transfer?

A. Whether the arrangement eliminates every possible future loss B. Whether the contract uses the longest possible document  C. Whether the transferred risk has the highest historical frequency  D. Whether the arrangement genuinely reduces NIC's exposure to the intended risk

Answer: D

Rationale: Effective risk transfer should materially reduce the insurer's exposure to the risk it intends to manage, subject to the terms, limits, exclusions and counterparty considerations of the arrangement. A reinsurance or other risk-transfer arrangement does not need to eliminate every possible loss to be useful. The actuary should therefore examine whether the structure actually transfers the intended risk and whether the remaining exposure is consistent with NIC's risk-management objectives.


11. An actuary calculates the expected loss from a portfolio as TZS 80 million. The actual loss is TZS 110 million. Which statement most accurately describes the result?

A. The portfolio has an adverse loss experience  B. The expected loss must equal the actual loss  C. The model has automatically become invalid  D. The portfolio has experienced a guaranteed profit

Answer: A

Rationale: Actual loss exceeding expected loss represents adverse experience relative to the stated expectation. However, a single year's adverse result does not automatically prove that the actuarial model is invalid because random variation is inherent in insurance outcomes. The actuary should investigate whether the difference is consistent with expected statistical fluctuation or indicates a change in underlying risk, assumptions or portfolio characteristics.


12. An insurer applies a deductible of TZS 500,000 to each eligible claim. A policyholder submits a covered claim of TZS 2 million. Ignoring other policy conditions, what amount would the insurer pay?

A. TZS 500,000  B. TZS 1 million  C. TZS 1.5 million  D. TZS 2 million

Answer: C

Rationale: A deductible is the portion of a covered loss that remains the policyholder's responsibility before the insurer's payment begins. Therefore, for a TZS 2 million claim subject to a TZS 500,000 deductible, the insurer would pay TZS 2 million − TZS 500,000 = TZS 1.5 million. The deductible reduces the insurer's payment on each applicable claim and can also influence claim frequency, policyholder behaviour and expected claim costs.


13. An actuarial officer receives a claims dataset in which some records contain missing values for claim amounts. Before calculating average claim severity, what is the most appropriate first step?

A. Treat every missing value as zero  B. Replace every missing value with the largest claim  C. Ignore the missing values without investigation  D. Determine why the values are missing and assess an appropriate treatment

Answer: D

Rationale: Missing claim amounts can arise from different causes, such as incomplete reporting, data-entry problems, claims still under assessment or system limitations. Treating every missing value as zero could materially understate severity, while replacing them with arbitrary values could introduce bias. The actuary should first understand the reason and pattern of missingness and then determine an appropriate documented treatment before calculating experience measures.


14. An insurer has 1,000 policies, each with an annual probability of claim of 0.01. If claim occurrences are independent, what is the probability that a particular policy has no claim during the year?

A. 0.01  B. 0.10  C. 0.90  D. 0.99

Answer: D

Rationale: If the probability of a claim is 0.01, the probability of no claim is its complement: 1 − 0.01 = 0.99. Therefore, a particular policy has a 99% probability of experiencing no claim during the year under the stated assumption. The number of policies in the portfolio does not change the probability for that particular policy, although it would affect the expected aggregate number of claims.


15. NIC is considering whether a portfolio's increasing claim severity is caused by inflation or by a change in the underlying risk profile. Which actuarial technique would be most useful for investigating the source of the change?

A. Removal of unusually large claims automatically B. Experience analysis with adjusted assumptions  C. Replacement of all historical observations  D. Simple comparison of total premiums

Answer: B

Rationale: Experience analysis allows actual outcomes to be compared across periods after considering relevant changes in assumptions and exposure. Adjusting for inflation, exposure changes, claims development and other relevant factors can help distinguish economic effects from genuine changes in risk characteristics. Simply comparing total premiums does not isolate claim-cost drivers, while automatically removing large claims could distort the true experience and hide important risk information.


16. A portfolio has two risks with variances of 25 and 36. Their covariance is -10. If equal weights are assigned to both risks, what is the portfolio variance?

A. 10.25  B. 12.75  C. 15.25  D. 25.50

Answer: A

Rationale: For two equally weighted risks, portfolio variance is calculated as (w_1^2\sigma_1^2+w_2^2\sigma_2^2+2w_1w_2Cov(X,Y)). With both weights equal to 0.5, the calculation is 0.25(25) + 0.25(36) + 2(0.5)(0.5)(−10) = 6.25 + 9 − 5 = 10.25. Therefore, the correct answer is A. The negative covariance reduces the overall portfolio variance because the two risks do not move perfectly together.


17. An investment portfolio has a modified duration of 6 years. If interest rates increase by approximately 1 percentage point, with other factors held constant, what is the approximate percentage change in the portfolio's value using the duration approximation?

A. An increase of approximately 6%  B. A decrease of approximately 6%  C. An increase of approximately 1%  D. A decrease of approximately 1%

Answer: B

Rationale: Modified duration provides an approximate measure of the percentage change in a bond portfolio's value for a change in interest rates. Using the approximation ΔV/V ≈ −Duration × Δy, a 1 percentage-point increase in yield with a modified duration of 6 implies an approximate 6% decrease in value. The relationship is an approximation and is most useful for relatively small changes in yields, with convexity and other factors becoming relevant for more precise analysis.


18. A life insurance model assumes a mortality rate of 0.01 for a particular age group. If 10,000 lives are exposed to the risk under the same assumption, what is the expected number of deaths?

A. 10  B. 100  C. 1,000  D. 10,000

Answer: B

Rationale: The expected number of deaths is the number of exposed lives multiplied by the assumed mortality probability: 10,000 × 0.01 = 100. This is an expected value rather than a prediction that exactly 100 deaths will occur. Actual deaths may be higher or lower because of random variation and differences between the assumed population and the actual portfolio.


19. An actuary is asked to determine whether a proposed premium is sufficient to cover expected claims, expenses and an appropriate margin for risk. Which actuarial function is most directly involved?

A. Claims settlement  B. Investment custody  C. Premium pricing  D. Financial auditing

Answer: C

Rationale: Premium pricing involves estimating the expected cost of future claims and incorporating relevant expenses, risk margins and other assumptions to determine an appropriate premium. Claims settlement occurs after losses arise, while investment custody concerns safeguarding assets. Financial auditing independently examines financial information but does not itself constitute the actuarial process of determining an adequate insurance price.


20. An actuarial report recommends strengthening a particular risk-control process. NIC management accepts the recommendation and introduces the control. What should the actuarial function subsequently do to determine whether the recommendation is achieving its intended purpose?

A. Stop monitoring the risk after implementation  B. Assume implementation guarantees lower losses C. Replace the recommendation with a new model immediately  D. Review relevant outcomes against the intended objective

Answer: D

Rationale: Implementation of an actuarial recommendation should be followed by monitoring to determine whether the intended risk or financial outcome is actually being achieved. This may involve comparing relevant experience before and after implementation, monitoring key risk indicators and assessing whether assumptions remain appropriate. Implementation itself does not guarantee success, so ongoing evaluation is essential and directly relates to the responsibility of implementing and monitoring actuarial recommendations.


21. A claim-cost distribution is highly right-skewed because a small number of claims are extremely large. Which measure is generally more resistant to the influence of these extreme observations?

A. Median  B. Arithmetic mean  C. Total loss  D. Variance

Answer: A

Rationale: The median is less affected by extreme observations than the arithmetic mean and therefore provides a more robust measure of central location when a distribution is highly skewed. The mean can be pulled upward substantially by a small number of very large claims. Variance is particularly sensitive to extreme observations because deviations are squared. However, actuaries should not automatically prefer the median for all purposes because the mean is often essential when estimating expected financial loss.


22. An insurer has a claim with an estimated ultimate cost of TZS 10 million. TZS 6 million has already been paid and the remaining amount is expected to be paid in the future. Ignoring discounting and further changes in the estimate, what is the outstanding amount?

A. TZS 10 million  B. TZS 6 million  C. TZS 4 million  D. TZS 16 million

Answer: C

Rationale: The outstanding amount is the estimated ultimate claim cost less the amount already paid. Therefore, TZS 10 million − TZS 6 million = TZS 4 million remains outstanding. This distinction is important in claims reserving because the ultimate claim cost represents the expected total cost, while the outstanding amount represents the portion that has not yet been paid at the valuation date.


23. A risk model gives an estimated probability of 0.001 for an event in a given year. The event has a potential financial impact of TZS 5 billion. Which statement best reflects the actuarial significance of the event?

A. Its expected annual loss is TZS 5 million  B. Its expected annual loss is TZS 500 million  C. Its expected annual loss is TZS 50 million  D. Its expected annual loss is TZS 500,000

Answer: A

Rationale: Expected loss is calculated as probability multiplied by loss amount. Thus, 0.001 × TZS 5 billion = TZS 5 million. The calculation does not mean the insurer will actually lose TZS 5 million during the year; it represents the average loss contribution under the stated probability and severity assumptions. The large potential severity nevertheless makes the risk important for capital and stress-testing purposes even though its expected annual loss is relatively small.


24. An actuary observes that two variables have a correlation coefficient close to zero. Which conclusion is most appropriate?

A. The variables must be independent  B. The variables must be mutually exclusive  C. The variables have no linear association  D. The variables have identical distributions

Answer: C

Rationale: A correlation coefficient close to zero indicates little or no linear association between the variables. It does not necessarily prove statistical independence because variables can have nonlinear relationships while having zero correlation. Mutual exclusivity concerns whether two events can occur simultaneously and is a different concept. Likewise, correlation says nothing by itself about whether two variables have identical distributions.


25. NIC's actuarial team discovers that a model has produced accurate results historically, but its assumptions are no longer consistent with current economic and demographic conditions. What is the most appropriate actuarial response?

A. Continue using the model because historical accuracy is sufficient  B. Ignore current conditions until actual losses increase  C. Review and update relevant assumptions before relying on projections  D. Discard all historical data because assumptions have changed

Answer: C

Rationale: Historical model performance is useful but does not guarantee that the model remains appropriate when underlying conditions change. Actuarial projections depend on assumptions about future conditions, and outdated economic or demographic assumptions can produce materially misleading results. The appropriate response is therefore to review the assumptions, assess their continued suitability, update them where justified, validate the revised model and document the impact. Historical data should not automatically be discarded because it may remain useful after appropriate adjustment and interpretation.


26. NIC receives 1,500 motor insurance claims during a year. Of these, 900 are settled at TZS 400,000 each, while the remaining 600 are settled at TZS 700,000 each. What is the weighted average settlement amount per claim?

A. TZS 480,000  B. TZS 520,000  C. TZS 600,000  D. TZS 660,000

Answer: B

Rationale: The total settlement amount is (900 × TZS 400,000) + (600 × TZS 700,000) = TZS 360 million + TZS 420 million = TZS 780 million. Dividing the total settlement amount by 1,500 claims gives TZS 780 million ÷ 1,500 = TZS 520,000 per claim. The weighted average is appropriate because the two claim groups contain different numbers of claims and therefore cannot simply be averaged without considering their respective frequencies.


27. An insurer's annual claim frequency has historically averaged 0.08 claims per policy. The portfolio currently contains 25,000 policies. If the historical frequency remains appropriate, what is the expected number of claims?

A. 2,000  B. 3,125  C. 20,000  D. 312,500

Answer: A

Rationale: Expected claim frequency is multiplied by the number of policies to obtain the expected number of claims. Therefore, 25,000 × 0.08 = 2,000 expected claims. The figure is an expected value rather than a guarantee that exactly 2,000 claims will occur. Actual claims can differ because of random variation and changes in the underlying risk characteristics of the portfolio.


28. An insurer reports an increase in total claim payments during the year. Which additional information would be most important before concluding that the underlying claim experience has deteriorated?

A. The colour of the insurer's annual report  B. The number of branches operated by NIC  C. Changes in exposure and portfolio composition  D. The number of meetings held by management

Answer: C

Rationale: An increase in total claim payments does not by itself demonstrate deterioration because the insurer may have experienced an increase in the number or type of risks insured. Changes in exposure, portfolio composition, policy mix and other relevant characteristics can materially affect aggregate claims. Examining these factors allows the actuary to distinguish an increase caused by greater exposure from a genuine worsening in the underlying risk experience.


29. An insurer's claim reserve at the beginning of the year was TZS 300 million. During the year, TZS 220 million was paid in respect of those claims, and the actuary estimates that TZS 100 million remains payable. Ignoring other adjustments, what does this experience indicate about the ultimate claim cost?

A. TZS 200 million  B. TZS 300 million  C. TZS 320 million  D. TZS 520 million

Answer: C

Rationale: The estimated ultimate cost of the claims is the amount already paid plus the amount still expected to be paid. Therefore, TZS 220 million + TZS 100 million = TZS 320 million. Comparing this estimated ultimate cost with the original TZS 300 million reserve indicates adverse development of TZS 20 million, assuming the original reserve represented the expected ultimate cost at the beginning of the year.


30. NIC notices that two insurance products have identical claim frequencies but substantially different average claim amounts. What is the most appropriate implication for actuarial analysis?

A. Their expected claim costs must also be identical  B.  Their premiums must necessarily be identical C. Their claim probabilities cannot be compared  D. Their expected claim costs may differ materially because severity differs

Answer: D

Rationale: Identical claim frequencies do not imply identical expected claim costs because the amount paid when claims occur may differ substantially. Expected loss depends on both the frequency of claims and their severity. Therefore, if two products have the same frequency but materially different average claim amounts, their expected claim costs may differ significantly, which can affect pricing, reserving and risk assessment.

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