AI-driven risk management in finance workshop

  • AI and machine learning
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Key reasons to attend 

  • Understand the key artificial intelligence (AI) risk drivers  
  • Learn about AI applications in the financial industry  
  • Examine the importance of large language models  

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About the course

Join this in-person learning event to 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 strategies for optimising model results.

Key sessions will navigate the current 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 areas such as compliance, cyber and financial risk management. Participants will also learn about how financial institutions are integrating this generative AI into their current practices.

Learning objectives

  • Navigate the local regulatory guidelines impacting AI in finance  
  • Explore ethical considerations and data privacy concerns
  • Apply AI techniques to enhance operational and IT risk management
  • Implement AI model validation techniques 
  • Examine the use of generative AI 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 
  • IT and data 
  • Risk model validation  
  • Model risk  
  • Quant analysis  
  • Financial crime  
  • Operational risk  
  • Risk technology  
  • Compliance 
  • Regulation  

Agenda

September 27, 2024

In-person. Location: Singapore

Sessions:

  • Artificial intelligence (AI): understanding the fundamental dynamics
  • Forthcoming intentions for AI
  • Introduction to AI in risk management
  • Overview of generative AI
  • Using AI to enhance risk management
  • AI models
  • Class exercise

Tutor:

  • Jose Blasco, Founder, Traddictiv
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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:

  • Iosco gears up for ‘intensive work’ on AI regulation - Read article
  • The fine line with LLMs: financial institutions’ cautious embrace of AIRead article
  • AI expert warns of algo-based market manipulation - Read article

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

Registration

September 27, 2024

In-person, Singapore

Price

$1,499

Early-bird Price

$1,299
Ends August 23
Book now

Enquire about:

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

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