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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New Head for GCD

by | Aug 14, 2018 | Uncategorized

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PRESS RELEASE – 15 August 2018

 

New Head for GCD

 

Global Credit Data has appointed Richard Crecel from Société Générale as its new Executive Director from September 2018, following retirement of Philip Winckle

Global Credit Data, a not-for-profit initiative jointly owned by over 50 leading global banks, is replacing its chief executive officer (titled Executive Director) in September 2018.  Incoming Executive Director, Richard Crecel, is taking the role as a secondment from current employer, Société Générale, where he has held senior risk positions in Europe and the US.  Société Générale is one of the founding members of the GCD consortium and Richard has been their representative on GCD’s board in prior years, including a term as Chair of the Board of GCD between 2012 and 2016.

Richard will replace Philip Winckle (ex SEB Sweden), who was GCD’s first Executive Director and built activities and membership since 2012.  “Richard is one of those rare people who is at home with deep statistical methods, personnel management and business vision”, says Philip Winckle, GCD’s retiring Executive Director, “his experience as chair of the GCD Board means he can continue our growth and delivery momentum for members.”

Theo van Drunen of ABN AMRO, GCD’s current Board Chair, explains that the 1 year recruitment process was necessary due to the requirement that the Executive Director has extensive hands-on experience in credit risk data and modelling as well as performing the top leadership role.  Theo notes that GCD is a global organization with strong membership by US, Canadian, Australian and South African banks in addition to the original European base and therefore Richard’s recent New York experience will give him insight into the needs of members worldwide.

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GCD’s new Executive Director, Richard Crecel

About Global Credit Data

Global Credit Data – established in 2004 – manages the collection of historical LGD, EAD and default observations from over 50 member banks. GCD’s LGD/EAD data set is one of the world’s largest sources of information on all aspects of LGD modelling for wholesale lending. The database comprises over 175,000 defaulted loans to almost 100,000 borrowers covering 11 Basel asset classes.  GCD also collects default data in its PD and Ratings database as well as named obligor risk estimates in its Benchmarking database.  GCD partners with the International Chamber of Commerce in collecting Trade Finance data for the ICC Trade Register database.

 

GCD data is detailed enough to develop or enhance internal PD, EAD and LGD models or for validation, calibration or benchmarking. These models can be used to support the Advanced Internal Ratings-Based approach (AIRB), to fulfil the credit provisioning standards IFRS9 or CECL, for stress testing and also for economic capital and pricing.

 

 

Enquiries

Philip Winckle  philip.winckle@globalcreditdata.org

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