Nathan Kisiel

Through Exam P, I developed a strong foundation in probability theory and its application to modeling uncertainty. I learned how to work with discrete and continuous random variables, common probability distributions, and key measures such as expected value, variance, and covariance. The exam also strengthened my understanding of conditional probability, Bayes’ theorem, and joint distributions, which helped me see how multiple sources of risk can interact within a single model.

Exam FM taught me the core principles of financial mathematics and the time value of money. I gained experience calculating present and future values of cash flows and working with annuities, loans, amortization schedules, and bonds. I also learned how interest rates and compounding affect long-term financial obligations and how to evaluate cash flows using yield rates.

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