AI-driven risk management in finance workshop

Date: June 25, 2025
Time: 9:00AM—5:00PM
Delivery language: Japanese
Tutor: Yutaka Sakurai, Head, AI Finance Application Research Institute
Venue: Wis Square GLOXIA Ginza, 7F Yoshizawa building 3-9-19 Ginza, Chuo-ku, Tokyo 104-0061 Japan
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AI-driven risk management in finance workshop
*This workshop will be conducted in Japanese. Please visit here for the English session.

Join this in-person conference workshop to enhance your knowledge of the fundamental principles of AI and gain valuable insights into the ways organisations are integrating AI into their risk management practices. Expert-led sessions will guide participants on the use of AI model validation techniques and setting an AI risk appetite.

Key sessions will navigate the local regulatory landscape, highlighting responsible uses of AI and the ethical considerations for financial institutions, such as AI explainability and the development of AI governance frameworks.

Participants will enhance their knowledge of the diverse roles of AI in risk management, including in such areas as operational, cyber and financial risk management. Participants will also learn how financial institutions are integrating GenAI into their current practices.
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Key reasons to attend:

  • Understand the key artificial intelligence risk drivers
  • Learn about AI applications in the financial industry
  • Examine AI risk mitigation practices and use cases

Course agenda

  • Artificial intelligence: understanding the fundamental dynamics
  • AI regulatory landscape and development of AI governance frameworks
  • Overview of generative AI
  • Using AI to enhance risk management
  • AI models
  • Risks of using AI
  • Case study
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Who should attend?

Relevant departments may include but are not limited to:

  • Risk management
  • AI
  • IT and data
  • Risk model validation
  • Model risk
  • Quant analysis
  • Financial crime
  • Machine learning
  • Operational risk
  • Risk technology
  • Compliance
  • Regulation

Pricing:

Claim the early bird rate before April 25, 2025. Ticket prices are listed in USD and 10% VAT to be added.

For financial institutions: $1,799 + 10% VAT (early bird rate - includes access to one training workshop and the conference)
For non-financial institutions: $1,799 + 10% VAT (early bird rate - not including the conference)
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Yutaka Sakurai is expert of new technologies including AI, combinatorial optimisation problem, and quantum (inspired) computing with a strong background in financial theory and practice. In recent years, he has been focusing on the application of AI to the field of finance, as well as the application of combinatorial optimisation problems and the development of related technologies with an eye on the coming era of quantum computers. After more than twenty years’ experience as a fund manager, trader and quant in Bank of Tokyo-Mitsubishi and Sony Bank, he became a managing director of Research and Pricing Technology Inc. in 2010. He started AI Finance Application Research Institute in 2017. He has published many books on finance and AI, including “Artificial Intelligence Dominates Finance” (Toyo Keizai Shinpo), “History of Mathematical Finance” (Kinzai), and “Machine Learning Guidebook” (Ohmsha).