BCBS 239: Effective risk data aggregation and reporting

  • Data and technology, Regulation, governance and compliance
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Key reasons to attend

  • Develop an implementation roadmap for BCBS 239 compliance
  • Elevate operational efficiency and decision-making processes
  • Acquire practical skills in data management

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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

Effective implementation of BCBS 239 is crucial for enhancing risk management and strategic decision-making in financial institutions. This course provides practical guidance on applying key BCBS 239 principles and avoiding regression in compliance. 

Participants will engage with real-world case studies to learn about improving risk data reporting, monitoring data quality and developing resilient data architecture. Subject-matter experts will break down the BCBS 239 delivery process, highlighting both temporary and long-term solutions. Additionally, the course covers system requirements for efficient data aggregation and reporting, emphasising how they integrate and interact as one. 

Attendees will leave this course with strategies to elevate their data management practices, helping drive their organisations forward in a data-centric banking environment.

Pricing options:

  • Early-bird rate: save up to $800 per person by booking in advance (refer to the booking section for the deadline)
  • 3-for-2 rate: save over $2,000 by booking a group of three attendees (applicable to this course)
  • Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber* (use code SUB30)
  • Season tickets: cost-effective option for groups of 10 or more. Learn more

*The 30% subscriber reward discount is applicable only to current Risk.net subscribers. If this criteria is not met, we reserve the right to cancel the booking and issue an invoice for the correct rate. Discounts cannot be applied to already registered participants.

Learning objectives

  • Examine the components of successful data governance
  • Design effective and compliant risk data reports
  • Discuss best practices for data aggregation 
  • Learn how to measure and monitor data quality
  • Navigate common implementation challenges
  • Investigate how to prevent regression in compliance

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


May 21–23, 2024

Live online. Timezones: Emea/Americas


  • Supervisory overview
  • Risk data reporting
  • Data architecture and aggregation
  • Managing data quality
  • Data governance
  • BCBS 239 delivery: challenges and solutions
  • Case study: challenges and opportunities after implementation

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Navin Rauniar Risk Learning Faculty

Sustainability partner


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Navin is an ex-banking professional, and most recently was working as a senior leader and practitioner, with 20+ years of banking, corporate, and big four experience. He advises board and CxO members across business and technology, using domain expertise that focuses on sustainability, capital markets, and risk management, driven by prudential regulation in ESG, climate risk, carbon markets, sustainable financing, net zero, and capital management impacting an institutions’ strategy, governance, and implementation.

Navin was most recently leading the sustainability business and technology delivery for TCS and Tata clients. His international experience assisted in building diverse global teams.

Navin sits on a number of government and private industry committees, developing and influencing public policy on sustainability standards. Navin supports the financial markets community via mentoring of professionals and serving as the co-chair of the PRMIA ESG Working Group & PRMIA SteerCo. He is a regular speaker and chair at conferences, as well as a frequent commentator and author to the media on financial market regulations, including a column on sustainability that is published in ILFR.

David Power


Credit Suisse

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David has over two decades of experience spearheading large-scale, complex programs across wealth management, investment banking, risk, operations, and finance. He is committed to leveraging data and innovation to drive tangible value. He currently holds the position of director, head of data governance and risk at Credit Suisse and was previously the lead for risk data aggregation and reporting. He has a keen interest in the disruption happening in the market through technology and artificial intelligence. 

Jay Krish

Head of AML/FCC Data Governance

State Street

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As a data governance leader, Jay drives data management priorities in line with overall business objectives and improves the effectiveness of the data programs. He has been with State Street since 2005 in various different roles, currently working as Head of AML/FCC Data Governance. He is known for his keen awareness of how to eliminate waste through automation while simultaneously expanding the capabilities of the business. His expertise is in data analytics, data quality management, financial crimes compliance, machine learning and process automation. 

Randall Gordon Risk Learning Faculty

Head of data governance

Cross River

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Randall is a data governance professional with over 10 years of experience in leadership roles in financial services. He is passionate about data governance because he believes that reliable, trusted data is the foundation of strong decision-making, advanced analytics, and innovation. He is the innovative builder of data governance frameworks, focused on delivering measurable business value and providing data governance as a service to senior management and technology, operations, and analytic teams. He has a record of leading successful global, enterprise-wide initiatives to improve operational efficiency and simplify complex data processes and infrastructure. He has expertise navigating complex regulatory and compliance challenges requiring collaboration with regulators, legal, compliance and business leadership globally. 

Ali Adeli

ESG project manager

Janus Henderson Investors

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Currently serving as the ESG product and project manager for data and regulation at Janus Henderson Investors in London, Ali brings a wealth of expertise in ESG data management. With a background in product management at UBS and Nomura, he has led significant projects in data aggregation, regulation, and ESG compliance. A seasoned public speaker, Ali has shared insights at numerous conferences and academic institutions of which Risk Learning, covering topics from AI in finance to BCBS 239. Holding an MSc in Financial Mathematics from LSE and a BSc in Computer Science from UCL, Ali combines deep technical expertise with practical industry experience. 

Craig Taylor

Regulatory subject matter expert

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Craig is a seasoned expert in project, programme, and portfolio management, with a specialised focus on Solvency II delivery across Europe, risk data and BCBS 239. He is a published author on data quality and governance. He previously worked with Lloyds Banking Group to advance their compliance with BCBS 239, focusing on data aggregation and reporting. He played a pivotal role in developing the data lineage view of risk data and establishing a data forum to manage and improve data quality and flow through risk reporting. 


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

Pre-reading materials

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May 21–23, 2024

Online, Emea/Americas


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  • Group booking rates
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