Pre-Actuarial Foundations Module
The actuarial control cycle
The Pre-Actuarial Foundations Module introduces how actuaries define problems, choose assumptions, build models, and communicate results. Understand the control cycle: define the problem, identify risks, gather and validate data, select assumptions, build and test a model, interpret results, and monitor experience. Recognize that a model is a simplification, not a truth. Document data sources, limitations, and judgment. Professionalism begins with knowing the purpose of the work and the audience that will rely on it.
Data, assumptions, and communication
Questions often test whether you can separate evidence from judgment. Check data quality, completeness, consistency, and relevance. Distinguish demographic, economic, and behavioral assumptions. Sensitivity testing shows how results change when assumptions change; scenario testing explores plausible alternative futures. Communication should be clear, balanced, and free of misleading precision. State key limitations and avoid implying certainty that the model cannot support.
Worked rule
If a projection depends heavily on a lapse assumption, do not report only the central result. Show results under low, central, and high lapse rates, and explain which decisions are sensitive to the choice. A useful rule is: purpose drives assumptions, assumptions drive results, and results must be communicated with uncertainty. The trap is treating a sophisticated model as automatically reliable or hiding an adverse scenario because it is uncomfortable.