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Cashflow Modelling in Python Learn how to build actuarial models in Python by implementing insurance and financial cashflow models step by step. The course focuses on practical modelling, guiding you through examples from life insurance, annuities and financial instruments.
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Chapters
Chapter 1: Preparation

In this chapter, you will set up the tools needed for building cash flow models in Python. We will guide you through installing Python and a code editor (IDE) so that you can write and run your models efficiently. By the end, your system will be ready for hands-on exercises in the course.

Welcome and course overview
Python installation
IDE installation
Chapter 2: Term Life

In this chapter, you will build your first actuarial model for a term life insurance policy using Python. You will learn to prepare input data, calculate survival probabilities, expected benefits, and finally determine the net single premium. By the end, you will have a fully functional model that demonstrates the core principles of term life cashflow modelling.

Introduction to Term Life modelling
Model files
Input data
Model point set
Survival rate
Code for importing data
Code for survival rate
Survival rate results
Expected benefit & Net single premium
Code for Expected benefit
Code for Net single premium
Net single premium result
Full code (Term Life)
Chapter 3: Term Annuity

Introduction to Term Annuity modelling
How long are the benefits paid?
Input data
Code for Model Point Set
Code for interest rate
Survival rate & Expected benefit
Code for Expected benefit
Expected benefit result
Actuarial Present Value
Code for Actuarial Present Value
APV result
Full code (Term Annuity)