Course description
This interactive course will enhance participants’ understanding of the supervisory overview for data risk compliance, the impact of BCBS 239 on banks and the challenges and opportunities it has presented.
Subject-matter experts will provide insight into what constitutes a good data framework, focusing on establishing data lineage and all aspects of effective risk reporting best practices. Attendees will learn how to manage their data architecture, with dedicated sessions on the applications of AI/ML in data aggregation.
Through interactive classroom discussion, participants will have the opportunity to explore practical examples of BCBS 239 to understand best practice approached and the effect on BAU.
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Suitability - Who should attend?
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Risk management
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Reporting
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Enterprise data management
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IT strategy
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Data architecture
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Credit / Market / Liquidity Risk
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Operational Risk
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Compliance and Regulation
Outcome / Qualification etc.
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Identify what a good data framework looks like for data governance
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Address the BCBS principles of data accuracy, completeness, and timeliness
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Employ best practice approaches to overcome the challenges in risk reporting
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Recognise how the application of AI and ML can enhance data aggregation and reporting
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Apply the frameworks and approaches to other departments across the business
Why choose Risk Training
5,000+ Attendee's per year
500+ Companies per year
95% Satisfaction rate
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