AI-driven risk management in finance workshop
View AgendaKey reasons to attend
- Understand the key artificial intelligence (AI) risk drivers
- Learn about AI applications in the financial industry
- Examine AI risk mitigation practices and use cases
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About the course
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.
Pricing options*:
- Early-bird rate: save up to $500 per person by booking in advance
- 3-for-2 rate: save over $3,000 by booking a group of three attendees
- Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber
- Season tickets: save up to 60% - request price breakdown
*T&Cs apply
Learning objectives
- Assess how to deal with AI hallucinations
- Navigate the local regulatory guidelines impacting AI in finance
- Explore ethical considerations and data privacy concerns
- Implement AI model validation techniques
- Examine the use of generative AI (GenAI) in risk management
- Evaluate the challenges of AI explainability and interpretability
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
Agenda
June 16, 2025
In-person. Location: London
This workshop is part of Risk Live Europe (June 17–18, London, UK) and will be held the day before the conference. If you are attending Risk Live Europe, please contact us to claim your discounted rate*.
Sessions:
- Artificial intelligence (AI): understanding the fundamental dynamics
- AI regulatory landscape and development of AI governance frameworks
- Overview of generative AI
- Case studies: using AI to enhance risk management
- AI models
- Risks of using AI
- Case study group exercise
*T&C apply
June 25, 2025
In-person. Location: Tokyo
This workshop is part of Risk Live Japan, and will take place one day after the conference.
Click here to learn more about the conference and workshop rates.
Delivery language: Japanese
Venue: FEEEP Yaesu (Nihonbashi) store, Fuji Building Annex 3F, 1-4-4 Yaesu, Chuo-ku, Tokyo
Sessions:
- Artificial intelligence (AI): 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
Tutor:
- Yutaka Sakurai, Head, AI Finance Application Research Institute
View detailed agenda
September 23, 2025
In-person. Location: Singapore
This workshop is part of Risk Live Asia, and will take place one day before the conference.
Click here to learn more about the conference and workshop rates.
Venue: CityHub Collyer Pte Ltd, 20 Collyer Quay, Level 23, Singapore 049319
Sessions:
- AI: understanding the fundamental dynamics
- AI regulatory landscape and ethical considerations
- Development of AI governance frameworks
- Overview of generative AI
- Using AI to enhance risk management
- AI models
- Risks of using AI
- Class exercise
Tutor:
- Jose Blasco, founder, Traddictiv
Tutors

Jose Blasco
Founder
Traddictiv
Jose Blasco is a distinguished expert at the intersection of artificial intelligence (AI), financial trading and risk management, renowned for pioneering the use of advanced technologies to navigate the complexities of global markets. As the visionary founder of Traddictiv PTE. LTD., he specialises in creating cutting-edge trading technologies that leverage machine learning and AI, significantly enhancing strategic market analysis and decision-making processes.
With a solid foundation in quantitative finance, evidenced by his Certificate in Quantitative Finance (CQF) and a broad spectrum of experience spanning financial trading and quantitative research, Jose’s work embodies the fusion of technical expertise with practical financial acumen. An acclaimed educator and communicator, he has been recognised with prestigious awards for his ability to demystify complex financial and technological concepts for a global audience, fostering a deeper understanding and application of AI in finance.
Jose’s multifaceted career is marked by a commitment to innovation, excellence in teaching, and a passion for bridging theoretical knowledge with real-world application. His multilingual skills and international teaching experiences further enrich his ability to connect with and inspire professionals across the globe, making him a leading authority in the evolving dialogue on AI and its transformative potential in the financial industry.

Yutaka Sakurai
Head
AI Finance Application Research Institute
金融理論と実務に精通したAI、組合せ最適化問題、量子(インスパイア)コンピューティングなどの新技術の専門家。近年は、金融分野へのAIの応用、量子コンピュータ時代の到来を見据えた組合せ最適化問題の応用と関連技術の開発に注力している。東京三菱銀行、ソニー銀行でファンドマネージャー、トレーダー、クオンツとして20年以上の経験を積んだ後、2010年にリサーチ&プライシングテクノロジー株式会社常務取締役に就任。2017年にAIファイナンス応用研究所を立ち上げる。金融とAIに関する書籍を多数出版し主な著書に『人工知能が金融を支配する日』(東洋経済新報社)、『数理ファイナンスの歴史』(金融財政事情研究会)、『機械学習ガイドブック』(オーム社)がある。
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).
Pre-reading materials
The Risk.net resources below have been selected to enhance your learning experience:
- Robeco fires up AI thematic ETF
- An AI-first approach to model risk management
- Revolutionising credit surveillance: part two
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