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Invite colleaguesBCBS239: Reasons, impacts, framework and route to compliance
Abstract
In January 2013, the Basel Committee on Banking Supervision (BCBS) published its BCBS239: ‘Principles for Effective Risk Data Aggregation and Risk Reporting’. The guidelines describe 14 principles that are intended to strengthen global, systemically important banks’ (G-SIBs’) risk-data aggregation capabilities and internal risk-reporting practices. The effective implementation of the principles is expected to enhance risk management and decision-making processes at banks and increase G-SIBs’ ability to cope with stress and crisis situations. This paper describes the requirement of such guidelines in light of G-SIBs’ current data problems along with the impact on these G-SIBs’ data management capabilities. It also describes the current status of these banks according to BCBS publications and how they are faring with respect to the various principles and their attainment. Finally it provides a framework for G-SIBs to achieve BCBS239 compliance with respect to defining and prioritising key data elements for risk management along with a data dictionary; data architecture including data quality framework, data lineage and data flow; physical data objects like databases, interfaces, services etc; and risk reporting and data consumption.
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Author's Biography
Rajib Chakravorty is a results-focused and selfmotivated senior risk manager with a high degree of expertise in data and riskmanagement solutions. He has over 20 years of experience in financial services business, business intelligence, analytics, data modelling, project management and implementation, and design of data warehouses. He developed the OFSAA Reveleus Basel II solution framework — offering credit risk and transfer pricing solutions — that has become the accepted solution globally for large tier 1 banks like CITI, Lloyds TSB, Wells Fargo, etc. He also has been involved in developing data governance frameworks for organisations along with data policies, data ownership and data sourcing guidelines.