BCBS 239: Effective risk data aggregation and reporting

  • Regulation, governance and compliance, Data and technology
View Agenda

Key reasons to attend

  • Apply best practice to achieve aggregated view of data quality 

  • Understand how to manage data risk across the business

  • Focus on sustainable and profitable ways to integrate and utilise BCBS 239

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Customised solutions

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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

This comprehensive learning event will enable participants to develop an understanding of the supervisory overview for data risk compliance and the impact of BCBS 239 on financial institutions. 

Subject-matter experts will provide valuable insight into managing data risk and enhancing data reporting frameworks. Participants will also explore the BCBS 239 principles of data accuracy, completeness and timeliness, and learn how to best manage their data architecture and aggregation.

Interactive discussions and a case study will include practical examples of BCBS 239 and exploration of the key challenges and opportunities that arise after implementation.

Flexible pricing options:

  1. Early-bird rate: book in advance and save $200 

  2. 3-for-2 group rate: book three delegates for the price of two and save more than $2,000 

  3. Season tickets: book a team of 10 or more and save up to 50%

Learning objectives

  • Identify an effective data framework for data governance

  • Explore the consequences of non-compliance to BCBS 239 

  • Employ best practice approaches to overcome challenges in risk reporting

  • Identify and define the principles for effective data aggregation

  • Learn how to speed up decision-making by improving information availability

  • Discover how artificial intelligence can enhance data aggregation and reporting

  • Mitigate the severity of losses resulting from risk management weaknesses

Who should attend

Relevant departments may include but are not limited to:

  • Reporting

  • Enterprise data management

  • IT strategy

  • Data architecture

  • Credit/Market/Liquidity risk

  • Operational risk

  • Compliance and regulation


October 30–November 1, 2023

Live online. Timezones: Emea/Americas 


  • Overview of BCBS 239

  • Risk data reporting

  • Data architecture and aggregation

  • Managing data quality

  • Artificial intelligence and machine learning application in data aggregation and reporting

  • Case study: challenges and opportunities after implementation


  • David Power, Director, Credit Suisse

  • Randall Gordon, Head of data governance, Cross River

  • Navin Rauniar, Partner, Tata Consultancy Services

  • Jay Krish, Head of AML and FCC data governance, State Street

  • Ali Adeli, ESG project manager, Janus Henderson Investors

View detailed agenda


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:

A Risk.net subscription will provide you access to these articles. Alternatively, register for free to read two news articles a month.


October 30–November 1, 2023

Online, Emea/Americas


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Enquire about:

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

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