AI-driven risk management in finance workshop

  • AI and machine learning, Quant and model risk
View Agenda

Key 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  

Find out more

Customised solutions

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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

View detailed agenda

*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.

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
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

View detailed agenda

Tutors

Jose Blasco

Founder

Traddictiv

View bio

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.

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.

Registration

June 16, 2025

In-person, London, UK

Price

$3,699

Early-bird Price

$3,199
Ends May 16

June 25, 2025

In-person, Tokyo, Japan

Price

$1,799

Early-bird Price

$1,399
Ends February 21

September 23, 2025

In-person, Singapore

Price

$2,499

Early-bird Price

$1,799
Ends May 23
Book now

Enquire about:

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

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