The courses in this category utilize open source tools and frameworks, either developed by Open Risk or available via open source licenses. Open Risk advocates and supports open source, transparent, peer reviewable, methodologies and risk models. From the Great Financial Crisis, to the Covid-19 Pandemic, the Sustainability Challenge and onwards, time and again we see conventional (proprietary and closed) risk models and risk management tools being challenged, failing to deliver their purported utility when it is needed most.

This course category offers a range of online eLearning 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

Scripts and other resources needed for the courses are also available in our GitHub repository

Access these Courses at the Open Risk Academy

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Courses in Risk Modeling Using Python

• Processing Agency Mortgage Data with Awk, Pandas and Django. Part 1, Static Data
• Processing Agency Mortgage Data with Awk, Pandas and Django. Part 2, Dynamic Data
• Intro to Concentration Measurement using Python
• Exploratory Risk Data Analysis
• An introduction to Semantic Data with Python
• Loan Level Templates Using Python
• Credit Migrations using TransitionMatrix
• Input-Output Models with Python