BCBS 239: Effective risk data aggregation and reporting

  • 3 days
  • Transformation & technology
  • 8 CPD points
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Key reasons to attend

  • Manage data risk across the business

  • Focus on validation and reporting to derive advantage

  • Improve the capability of data to enhance decision-making 

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Customised solutions

Does your team require a tailored learning solution on this or any other topic?

Working with the portfolio of expert tutors and Risk.net’s editorial team, we can develop and deliver a customised learning to make the most impact for your team, from initial assessment to final review. 

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About the course

Join us in interactive learning event, which will enhance your understanding of the supervisory overview for data risk compliance and strengthen your risk data, risk validation and reporting capabilities. 

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. You will learn how to manage your data architecture, with dedicated sessions on the applications of AI and machine learning in data aggregation.

Through interactive discussions, you will explore practical examples of BCBS 239 to gain a deeper understanding of the topic as well as identify the competitive advantage available when implementing data aggregation.  

Learning objectives

  • Implement a robust data framework for data governance

  • Address the Basel Committee’s principles for data accuracy, completeness and timeliness 

  • Employ best practice approaches to overcome the challenges in risk reporting

  • Recognise how the application of artificial intelligence (AI) and machine learning can enhance data aggregation and reporting

  • Apply frameworks for and approaches to processing data across the banking group

  • Interpret key performance indicators in data quality

Who should attend

Relevant departments may include but are not limited to: 

  • Risk management

  • Reporting

  • Enterprise data management

  • IT strategy

  • Data architecture

  • Credit risk 

  • Market risk

  • Liquidity risk

  • Operational risk

  • Compliance and regulation


May 22–24, 2023

Time zones: Emea / Americas 


  • Supervisory overview of data risk

  • Fundamentals of BCBS 239

  • Data governance

  • Data architecture and IT infrastructure

  • Risk reporting

  • Managing data quality

  • AI and ML application in data aggregation and reporting

  • Challenges and opportunities after implementation


October 3 – November 1, 2023

Time zones: Emea / Americas 




This course is CPD (Continued Professional Development) accredited. One credit is awarded for every hour of learning at the event.

Pre-reading materials

The Risk.net resources below have been selected to enhance your learning experience:

  • Private companies lack data transparency, say regulators and vendors - Read article

  • Technology risk management in fintech: underlying mechanisms and challenges - Read article

  • Data to anchor a new age of risk management - Read article

To access some of the above articles you need to have a current subscription to Risk.net. If you don’t have one now, please subscribe to a free trial


May 22 - 24, 2023

02:00 pm - 05:00 pm




Earlybird Price


October 30 - November 1, 2023

02:00 pm - 05:00 pm




Earlybird Price

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  • Agenda and registration process
  • Group booking rates
  • Customisation of this programme
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