Open Risk Academy

A visually pleasing logical decomposition of different risk types using the analogy of the periodic table. The app offers an interactive exploration of the risk profile of different business models

In the Shortest Possible Course on Risk Management we try to condense in 15 intense minutes the essence of risk management!

The course is completely introductory and does not have any prerequisite except a clear and open mind!

This course is a CrashProgram (short course) introducing the concept of a structured review of risk data. The course is at an introductory technical level. It requires some familiarity with credit risk data (and an ability to open and inspect data files) Step by step we build the knowledge required to review the suitability of data for a given purpose and how to report the findings

• We learn the concept of Data Provenance
• We get a first exposure to the different levels of Data Validation as recommended by EuroStat
• We summarize our findings in a mock report written in Markdown format

Course Level and Type:

This course is a CrashProgram in the use of python for credit portfolio modelling purposes, in particular working with data templates and spreadsheets. The course requires some prior knowledge of python (and indeed prior programming knowledge in some language is required) and, of course, also spreadsheets. The course covers the following topics:

• Overview of the loan level templates (ECB SME version)
• Manipulating spreadsheets with Python
• The python dictionary data type
• Organization of the loan data fields
• Generating test portfolios

Course Level and Type:

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. 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:

This course is a 4 Session DeepDive into regulatory aspects around concentration risks in credit portfolios, focusing on compliance requirements of the Large Exposure Framework and the Pillar II. The course covers the following topics:

• The regulatory framework around credit concentration risk as captured in the BIS documentation
• The Large Exposures Framework
• Regulatory requirements around Pillar II name, sector and geographic concentration risk

Course Level and Type:

This course is a DeepDive into measuring name concentrations in credit portfolios. It covers the following topics:

• The measurement of credit name concentrations using basic indicators and indexes such as the concentration ratio and the HHI index
• The measurement of credit name concentrations using more advanced (risk based) indicators such as volatility and economic capital based indexes

Course Level and Type: