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This course category is a collection of online resources to assist different users:

  • Developers involved in the development of risk models using Python
  • Risk managers that use data science tools to support their function


The courses utilize open source tools and frameworks, either developed by Open Risk or available via open source licenses. Scripts and other resources needed for the courses are also available in our GitHub repository

Analysis of Credit Migration using Python TransitionMatrix

Python is the swiss knife of modern programming languages and a prime candidate to be also the swiss knife for risk modelling

Summary:

This course is a CrashProgram (short course) in the use of Python and the package TransitionMatrix for analysing credit migration data.

Requirements:

The course is a medium technical level. It requires some familiarity with python (and a working installation that includes the common numpy/scipy libraries). On the risk modelling side it requires knowledge of basic credit rating migration concepts.

Outcomes:

Step by step we build the knowledge required to use python to analyse credit migration data:

  • We learn to work with basic transition matrix data objects
  • We explore the estimation of matrices using the cohort method
  • We look into visualization of data sets
  • The working examples are based on both synthetic data and the published LendingClub dataset

Course Level and Type:

Introductory Level Core Level Advanced Level
Non-Technical
Technical CrashProgram
PYT26038

Concentration Measurement using Python

Python is the swiss knife of modern programming languages and a prime candidate to be also the swiss knife for risk modelling

Summary:

This course is a CrashProgram in the use of python for risk modelling purposes, in particular credit concentration measurement. The course requires little or no prior knowledge of python (but indeed prior programming knowledge in some language is required). There is little or no prior knowledge of concentration risk measurement but general background in credit risk management is useful for context.

Content:

The course covers the following topics:

  • Step by step we build the knowledge required to use python to meet a typical modern risk management challenge
  • Examples are drawn from the two primary areas of credit concentration: name and sector concentration

Course Level and Type:

Introductory Level Core Level Advanced Level
Non-Technical
Technical CrashProgram
PYT13013