The Mission of Global Credit Data

A cross-border data-pooling initiative to help banks measure and actively manage credit risk.

By banks, for banks’

Global Credit Data has been created by its Member-banks to provide them with a collection of historical loss data, analysis and research resource, due to contribute to a better understanding of credit risk; Global Credit Data promotes the quality, the standardization and the transparency of data, thereby improving these banks’ ability to actively manage the credit risk of their portfolios.

Through its Methodology Committee and the active participation of its Member-banks, Global Credit Data provides an international forum for exploring the intricacies of credit risk management and sharing of best practice. The Association works on a ‘Give to Get’ basis: rather than “shareholders’ value”, the active participation of its Member-banks creates “membership value” for each one’s immediate benefit.


Global Credit Data was formed in December 2004 as a credit risk data-pooling initiative primarily designed to assist Member-banks in enhancing their internal credit risk models, completing the Basel II preparations in pursuit of the International Ratings Based Advanced Status and improving their risk assessment for risk and credit portfolio management purposes.

Since then Global Credit Data has enjoyed remarkable success – both in terms of growing its membership and establishing its international reputation through the creation of the largest existing loss and recovery dataset for commercial loans. Its database currently contains over 110,000 individual facility default records from over 50,000 obligors across 120 different countries over a period from 1990 to date. The database is fed by Member-banks with all new defaults bi-annually on a ‘give to get’ basis. Currently, data is collected on the basis of 11 distinct Asset Classes (i.e. all except Retail), which mirror those defined in the Capital Requirements Directive that underpins Basel 2 AIRB capital requirements. The Member-banks are not required to join all Asset Classes and may opt out of those not relevant to their own specific business requirements.

Membership has grown from the original base of 13 to a current membership of 47 Member-banks across Europe, Africa, Asia, Australia and North America. Indeed, this is also reflected in the geographic coverage of the Global Credit Data databases which, originally limited to Europe, have been extended to include global exposures. Global Credit Data strives to enlarge its membership across the world because it believes that a global standard for data collection is in the interest of the financial industry as a whole.

Global Credit Data and its Member-banks continuously work on further improving the quality of the data-base through comprehensive standards set by the Methodology Committee. Many Member-banks of Global Credit Data admit that the best internal data Member-banks have is the data they have delivered to Global Credit Data.

Data is pooled by the Member-banks in Global Credit Data on the basis of confidentiality, anonymity, flexibility, comparability & reciprocity. The Member-banks remain owner of their own data but give a perpetual license (right of use) to the Association. Once aggregated, the data becomes a distinct data-set, which is owned by the Association, i.e. the Member-banks jointly.

Legal structure

Global Credit Data is incorporated as a private, not-for-profit, Association domiciled in The Netherlands under Dutch Law. This structure ensures that the aim of the Association is focused on providing benefits to its members as a result of their active participation; this means creating membership value, rather than shareholder value.

The activities and services provided by Global Credit Data are defined in the Articles of Association.

The basis of the membership agreement is to adhere to the Articles of Association and to the internal rules of the Association, called Data Pool Regulations. Only corporate bodies – in practice registered banks – can be members.

If you want to read the Articles of Association, click here.

Board of Directors

Global Credit Data is governed by a Board, whose detailed responsibilities are defined in the Articles of Association. The members of the Board are individuals appointed by the Global Credit Data General Assembly among the delegates representing the Members.

The current members are:

Mr Richard CRECEL, Chairman (since June 2012)

Richard CRECEL has been active for 18 years in risk management, both on retail and non retail sides. He began its career as scoring engineer, then evolved as Head for modelling and risk management teams in the sector of consumer finance, in France, Italy and Turkey during 5 years. He then became freelance consultant in this domain for a number of reference companies of the banking industry during 7 years, before joining the Risk Division of SOCIÉTÉ GÉNÉRALE as Head for Credit Risk and Rating Models within the Global Risk Measurement department.
Richard is Statistician Actuary from UPMC University (Paris - France), lives in Paris with his lovely wife and their 2 daughters.


Mr Theo van DRUNEN, Treasurer (since June 2010)

Theo van DRUNEN has 18 years of experience in financial risk management methods, modelling and technology. As a consultant, he developed a range of Basel II services for Cap Gemini, Ernst & Young, and gained an extensive practical experience in quantitative model development and application for credit risk, market risk, interest rate risk, and financial instruments.
Theo joined Fortis Bank NL (now ABN AMRO Bank N.V.) in 2003 where he was heading the Specialised Lending team for Credit Modelling. In 2007 he entered the Risk & Portfolio Management department in the Merchant Banking division and became responsible for credit portfolio reporting and risk distribution. In July 2010 Theo was appointed Head of Credit Portfolio Management for ABN AMRO in Central Risk Management.  Since February 2013 Theo is Head of ECT Portfolio Management in the Energy, Commodities & Transportation business.

Theo holds a Masters degree in Quantitative Business Economics from Erasmus University in Rotterdam, The Netherlands. He lives in Sleeuwijk, The Netherlands, is married to Monique with whom he has three sons.


Mr Simon ROSS-HANSEN (since December 2010)

With a background in consulting from both in- and outside the financial sector, Simon ROSS-HANSEN joined DANSKE BANK in 2006. His career credentials include heading the bank's Risk Control unit, different Credit Modelling Models units as well as Portfolio Management.

Simon holds a Master degree from the Danish Technical University, as well as a Bachelor in Finance from the Copenhagen Business School. Also a Reserve officer in the Royal Danish Airforce, he lives in Greater Copenhagen.


Ms Claire KOUWENHOVEN-GENTIL, (since June 2012)

Claire Kouwenhoven-Gentil has been active since 2005 in most areas of financial risk management, and in particular in all areas of credit risk modelling (corporates, specialized lending, retail, financial institutions and country risk). She began her banking career (after three years of academic research in mathematical logic) as an all-round risk manager at NIBC Bank in the Hague (the Netherlands), before moving to credit risk modelling, and became Head of Modelling & Advisory - Credit at Rabobank in Utrecht (the Netherlands), overseeing the global - Wholesale, Rural and Retail – non-Dutch portfolio of the Rabobank Group.  As of January 1st, 2013, she moved to the Trade & Commodity Finance department of Rabobank as Senior Risk Manager, responsible mainly for Risk Assessments of commodity traders.

Claire holds two masters in Mathematics (Paris, France, and Utrecht, The Netherlands), and is a FRM-holder as well as a member of the Dutch GARP-chapter.

She is married to Timo, and lives since 1999 in The Netherlands, currently in Amsterdam.


Mr Antonio Ruiz (since June 2012)

Mr Ruiz is a Director of Credit Suisse in the Risk division, based in London. He is responsible for regulatory parameters within the investment bank division. Prior to joining Credit Suisse, he was head of Corporate Models and IRB Parameters at Santander UK. Before joining Santander, he worked as a fund manager for RMB International and as a quantitative analyst for Hanover Square Capital. Ruiz has 12 years of diversified experience in the financial industry.

Mr Ruiz graduated from Granada University with a degree in physics sciences and an MSc in theoretical physics. He also holds an MSc in financial mathematics from Imperial College London and an MSc in physics of advanced materials from Bristol University. He is a CFA charter holder.


Dr Iain MacLachlan (since June 2013)

Dr Maclachlan heads the credit model validation team at ANZ Bank in Melbourne, Australia and has been involved with credit risk modelling at an academic and practical level since the early 1990s.  Dr MacLachlan academic qualifications have involved theses on credit models and their performance and he has recently published in the area of LGD discount rates.


Mr Soumilya Datta (Shom) (since June 2014)

Mr Datta is a Managing Director and the Treasurer for Global Capital Management Group of Citibank's Institutional Bank. In addition to his treasury responsibilities, he is also responsible for Global CPM Capital allocation strategies and Basel III limits management. He has completed 28 years in Citi including CFO for Global Emerging Markets Corporate Banking, Head of EMEA Risk Strategy & Planning, Co-Chair of EMEA Underwriting Commitment Committee, Head of Private Equity for Middle East & South Asia etc.  Mr Datta is also a Senior Credit and Senior Securities Officer responsible for approving credit and underwriting transactions. Prior to joining Citi, he spent 7 years as Finance Manager at Unilever India and  Systems Programmer in Dunlop India. He is a Chartered Accountant and a Graduate in Business Administration and Management from Calcutta University



The decisions of the Board of Directors are carried out by the following persons:

Executive Director, Mr Philip Winckle
Methodology and Membership Executive, Mr Fred Beauvais
Methodology and Membership Executive, Mrs Daniela Thakkar

Operations Manager, Mrs Riette Dijkstra
Operations Executive, Ms Christine Kersten

Contact details refer here


Methodology Committee

Specific activities around the collection, analysis and use of data are controlled by a Methodology Committee, whose members are appointed by the Management Board. The detailed responsibilities of the Methodology Committee are further described in the Articles of Association and Data Pool Regulations. The Methodology Committee meets about 10 times a year.

Its responsibilities are:

  • Setting and reviewing definitions, in liaison with the Member-banks, and implementing them, with the Data Agent, into the database structure of Global Credit Data;
  • Designing and maintaining the suite of supporting documents (see below)
  • Supporting new initiatives by chairing working groups
  • Preparing the semi annual analytics meetings where best practice sharing takes place.

The current members of the Methodology Committee are:

Mr Antonio Ruiz, Credit Suisse, Chairman (See Management Board above)


Mr Michel van BEEST, NIBC Bank



Mr Martin LULIC, KFW


Ms Danie van WYK, FIRST RAND



Mr Sanjay GUPTA, PNC Bank

Mr Michael EL HADJ, JPMorgan

Working groups are each chaired by a member of the MethCom and supported by the following persons, in addition to the executives mentioned above:

Mr Martial de BIENASSIS, is supporting the Trade and Commodities Finance Working Group.

Mr Steve BENNETT is the contact representative for North American banks and is supporting the CRE Working Group.


The Data Agent

Global Credit Data engages an independent Data Agent to assist in collecting and sorting the large quantities of data and the ongoing monitoring of data contributions. The data agent also ensures anonymity of contributions and undertakes standardized analyses and reports for the benefit of all Member-banks.

The Data Agent, for LGD and EAD parameters, is Capgemini working in collaboration with SAS, who supply the software platform and aggregation tools.