Welcome to the Open Risk Academy!

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    Available courses

    A brief overview of the Academy offerings and suggestions on how to get started

    Demo Course Logo

    This crash course is an introduction to the main elements of an Academy course (it is a course about courses!).

    The course takes around an hour to complete. It is recommended to new users that are not familiar with eLearning environments.

    You can also use the course to test whether your can get full access to the academy courses using your particular device / browser.

    Course Level and Type:

    Introductory Level Core Level Advanced Level
    Non-Technical DEMO
    Technical

    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

    A forum for risk management questions and answers. Nothing is too complicated or too simple!
    Representation of credit portfolio management as an information processing engine

    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!

    Course Level and Type:

    Introductory Level Core Level Advanced Level
    Non-Technical Intro
    Technical
    This course collects resources and activities to facilitate those involved in open source risk modelling projects.
    Python is the swiss knife of modern programming languages and a prime candidate to be also the swiss knife for risk modelling

    This course is a CrashProgram (short course) in the use of Python and the package TransitionMatrix for analysing credit migration data. 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. 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
    Python is the swiss knife of modern programming languages and a prime candidate to be also the swiss knife for risk modelling

    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:

    Introductory Level Core Level Advanced Level
    Non-Technical
    Technical CrashProgram
    SME03030
    Python is the swiss knife of modern programming languages and a prime candidate to be also the swiss knife for risk modelling

    This course is a CrashProgram in the use of the MongoDB database in conjunction with Python for credit portfolio management purposes. The course requires little or no prior knowledge of mongoDB, and basic knowledge of python (but prior programming knowledge in some language is required). The course covers the following topics:

    • Introduction to MongoDB its data model and operations on data
    • Using python to access the database
    • Developing LoanDB, a document design conforming to SME Loan Level Data standard
    • Using map/reduce to extract data and python to apply a simple credit scoring model

    Course Level and Type:

    Introductory Level Core Level Advanced Level
    Non-Technical
    Technical CrashProgram
    MSM03032
    Python is the swiss knife of modern programming languages and a prime candidate to be also the swiss knife for risk modelling

    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:

    Introductory Level Core Level Advanced Level
    Non-Technical
    Technical CrashProgram
    PYT13013
    Visual representation of credit concentration diversification

    This course is a CrashProgram introduction to the topic of credit risk concentrations: how to identify, measure and manage excess credit exposure, an essential risk management discipline for any credit portfolio. The course covers the following topics:

    • The concept of credit concentration, its causes and motivation for its management
    • Overview of regulatory guidance, the large exposure framework and Pillar II
    • Introduction to measurement techniques using simple or advanced concentration metrics

    Course Level and Type:

    Introductory Level Core Level Advanced Level
    Non-Technical CrashProgram
    ICC13024
    Technical
    Visual representation of different topic of credit concentration in a portfolio

    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:

    Introductory Level Core Level Advanced Level
    Non-Technical DeepDive
    CRP13026
    Technical
    Visual representation of credit concentrations in a UK portfolio

    This course is a DeepDive into the UK regulatory framework around credit risk concentrations and their treatment under Pillar II. The context is provided by Consultation Paper CP1/15 which establishes benchmark Pillar II capital add-on methodologies for all main credit concentration risk categories. It covers the following topics:

    • The UK regulatory context around credit risk concentration and how the issue is represented in requirements and regulatory guidance
    • The use of concentration metrics for ICAAP

    Course Level and Type:

    Introductory Level Core Level Advanced Level
    Non-Technical DeepDive
    CUK13028
    Technical
    Visual representation of diversifying name concentration in a portfolio

    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:

    Introductory Level Core Level Advanced Level
    Non-Technical DeepDive
    CNC13010
    Technical
    Visual representation of diversifying sector concentration in a portfolio

    This course is a 4 Session DeepDive into measuring sector concentrations in credit portfolios. The course covers the following topics:

    • Measurement of credit sector concentrations using basic indicators and indexes such as the concentration ratio and the HHI index
    • Measurement of credit sector concentrations using risk based indicators such as volatility based indices and economic capital models

    Course Level and Type:

    Introductory Level Core Level Advanced Level
    Non-Technical DeepDive
    CSC13022
    Technical


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