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Abstract
The European Central Bank performs a targeted review of internal models with the objective of reducing the variability in risk-weighted assets (RWAs). This will be accomplished by harmonising practices and checking the compliance of Pillar 1 internal models of credit risk (CR), market risk (MR) and counterparty credit risk (CCR) with regular requirements. The paper will help assessment teams with guidance on which situations should trigger findings, covering a selection of mandatory key variables and allowing for additional tests to be performed. Specific attention will be paid to the different core banking systems and data sources that are used through to the (historical) risk database identified in the inspection. Although the fact that the information technology architecture and infrastructure for the credit rating systems are mode-specific, a simplified process will be outlined throughout the paper to illustrate the main process steps, systems and datasets. Targets are the retail and corporate small medium enterprises (SMEs) portfolios, including information based on personal experiences of the author. For the future, more sophisticated methods like artificial intelligence and machine learning, as described in literature, need to be found and applied.
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Author's Biography
Jörg Orgeldinger holds an MSc in Business/ Finance from Goethe-Universität Frankfurt, a masters degree in business administration from Edinburgh Business School, a PhD from Leopold Franzius Uni Innsbruck, a postgrad telecom degree from the University of Berkeley (USA), and different certifications, such as the Certified Forensic Financial Analyst (CFFA), Certified Merger and Acquisition Professional (CMAP) and Certified Valuation Analyst (CVA) from the United States. Jörg is an economist and data scientist specialised in quantitative and financial modelling. He has 17 years’ experience working for some of Europe’s biggest financial institutions. Jörg started his career in banking/finance for WestLB Düsseldorf and database analytics for financial institutions and worked all over Europe (Zürich, Amsterdam, London, Luxembourg, Milano, Munich etc). He has worked as an independent consultant for HamburgLB, Lloyds Banking Group, ABN AMRO, Unicredit, HSBC, GE Capital, Accenture etc on some of the banking industry’s biggest projects within provisioning and credit risk. Jörg also has a background in management consulting with Accenture and McKinsey.