GCD's Mission is to help banks understand and model credit risks. The comprehensive data pools are collected over a decade and distributed back to members for their own research and modelling.


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GCD is a unique data consortium that owns banks internal data for both PD and LGD. GCD’s data pools support the key parameters of banks’ credit risk modelling: Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD).

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GCD’s library gives access to wide variety of publications on risk related topics. Global Credit Data members work together to analyse the data and discuss methodology issues. GCD has published numerous papers and is actively promoting academic research on the data collected.

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Members not only benefit from exclusive rights and access to credit databases and analytics, but also from knowledge and research facilitation possible via the unique industry association.

Through a variety of forums such as workshops, webinars and surveys, GCD is an active industry participant facilitating the discussion in key strategic areas.

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Global Credit Data collects raw data from its members and distributes it back to them for use in their own analysis and modelling. GCD supports its members by providing a flexible high-end tool on the data pool: the GCD Visual Analyzer. Member banks can create dynamic Reference Data Sets and generate instant views on the data.

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Material member webinar “GCD in action”


This member webinar on November 14th, 2018 summarized the highlights of our last two conferences in Stockholm and New York.  


The agenda: 

​Pubudu Premawardena, Vice President, Internal Ratings Management, SCOTIABANK

“Commercial Real Estate LGD Model with GCD Data”


Atif Khan, Senior Manager, Wholesale Risk Estimates Modelling Risk Analytics and Insights, WESTPAC

“Non-retail EAD modelling with GCD data”


Nina Brumma, Head of Analytics and Research, Global Credit Data 

“The use of GCD for benchmarking purposes – How to read the new GCD peer comparison report”


Daniela Thakkar, Methodology & Membership Executive, Global Credit Data 

“Benchmarking credit risk estimates under IFRS 9 and CECL”