AI-driven risk management in finance

  • AI and machine learning
View Agenda

Key reasons to attend 

  • Examine the diverse applications of artificial intelligence (AI) in risk management 
  • Learn how to implement AI solutions and navigate the associated challenges 
  • Explore the most recent AI innovations shaping the future of finance

Find out more

Customised Solutions

Does your team require a tailored learning solution on this or any other topic?

Working with the portfolio of expert tutors and’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. 

Find out more

About the course

AI has revolutionised risk management in finance, introducing groundbreaking methods to identify and mitigate risks. This course provides an in-depth exploration of AI’s role in enhancing operational, IT and financial risk management, covering the automation of manual tasks.

Participants will discover the latest regulatory frameworks affecting AI use, ethical considerations and data privacy challenges. Expert-led sessions will guide attendees on the practical implementation of AI solutions, considering the business need and integration with existing systems. This course also introduces AI model validation techniques and strategies for optimising model results using AI.

Attendees will learn about emerging technologies, including open banking and blockchain, equipping them with the knowledge to be at the forefront of financial innovation.

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 subscriber (use code SUB30)
  • Season tickets: save over $1,000 per person by booking 10 or more tickets (available on selection of courses)

*The 30% subscriber reward discount is applicable only to current 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

  • Uncover the latest regulatory frameworks impacting AI in finance
  • Explore ethical considerations and data privacy
  • Apply AI techniques to enhance operational, IT, cyber and financial risk management
  • Develop skills for effective data collection and preparation
  • Investigate AI model validation techniques
  • Understand and counter AI-related risks
  • Discover the intersection of AI and quantum computing

Who should attend

Relevant departments may include but are not limited to: 

  • Risk management
  • IT and data
  • Risk model validation
  • Model risk
  • Quant/analyst
  • Financial crime
  • Operational risk
  • Risk technology
  • Compliance


June 18–20, 2024

Live online. Timezones: Emea/Apac 


  • Artificial intelligence (AI): understanding fundamental dynamics
  • Introduction to AI in risk management
  • Implementing AI governance
  • AI and data management
  • Using AI to enhance risk management
  • AI model risk management

View detailed agenda

October 14–16, 2024

Live online. Timezones: Emea/Americas

Request detailed agenda


Daniel Garcia Risk Learning Faculty

Risk and compliance subject matter expert

View bio

Daniel is a Risk & Compliance Subject Matter Expert (SME) with over 16 years of global experience, having worked for major financial institutions and consulting firms in Latin America, Europe, and Asia. Previously, he led the Risk Management Global Practice at Verdantix, where he led the market research intelligence and provided advisory services on risk and compliance matters.

Daniel holds a BA degree in economics and different specialisations in Capital Markets and Financial Engineering.

Paul Chammas Risk Learning Faculty

Co-founder and managing partner

Quantum Risk Advisory

View bio

Paul Chammas is a seasoned Technology Risk & Cybersecurity consultant, auditor, and trainer, with over 14 years of experience dedicated to financial services. In 2021, he co-founded Quantum Risk Advisory (QuRISK), a startup specialized in risk management for emerging technologies, particularly focusing on Artificial Intelligence and Quantum Technologies.

With an Engineering degree in Telecommunications from EFREI Paris, a Masters in Technology Management from HEC Paris, and a Masters in Quantum Technologies from UPM Spain, Paul seamlessly blends technical expertise with strategic insight. His unwavering commitment is focused on providing organizations with the appropriate methodological tools to safely adopt cutting-edge technologies.

Soren Mork

Director - Head of AI risk, FSO technology consulting


View bio

Søren is director, FSO Nordics AI lead and head of EY’s AI Risk team based in Copenhagen that focus on model validation of artificial intelligence (AI)/machine learning models. He established and headed one of the first dedicated AI/machine learning model validation units in Europe and is one of its leading experts on AI/machine learning model risk. He has a PhD in AI/machine learning and 15+ years’ experience as a researcher and model validator, and within all aspects of model risk management. He has been actively engaged in AI/machine learning risk management in the financial sector for the past 6 years. During the years Søren has organized and chaired roundtables on AI/machine learning model risk management with leading banks in Europe and has been invited as speaker on AI model risk at conferences and universities and advised both local FSA’s and EBA on AI/machine learning risk in the financial sector. He is a co-representative of Denmark in the CEN/CENELEC (European equivalent of ISO/IEC) Joint Technical Committee 21 for Standardization on AI, in support of the upcoming European AI act.

Pre-reading materials

The resources below have been selected to enhance your learning experience:

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


June 18–20, 2024

Online, Emea/Apac



Early-bird Price

Ends May 17

October 14–16, 2024

Online, Emea/Americas



Early-bird Price

Ends September 13
Book now

Enquire about:

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

Contact us

You need to sign in to use this feature. If you don’t have a account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here