Unlocking AI for risk management in finance

  • 3 days
  • 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 Risk.net’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.

Only until December 31, 2023:

  • Locked rate: $1,999.
    Book by December 31, 2023 and save $1000 (quote LOCK23 code)

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


January 30–February 1, 2024

Timezones: Emea/Americas


  • Artificial intelligence (AI): understanding fundamental dynamics

  • Introduction to AI in risk management

  • Using AI to enhance risk management

  • Implementation: how to ride the AI wave

  • Model risk management for AI

  • AI and emerging technologies: a recipe for financial disruption

View detailed agenda


Jesús Calderón

Managing director

Maclear Data Solutions

View bio

Jesús Calderón advises Canadian and international clients in the financial services and energy industries on the implementation of data-driven solutions for risk management in banking, insurance, capital markets, and energy trading, as well as anti-money laundering and regulatory activities. Jesús has over twelve years of experience in risk management, internal audit, and fraud investigations, where he has specialized in the application of data science and machine learning methods to optimize risk control activities and examinations.

Daniel Garcia Risk Learning Faculty

Risk management practice lead


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. Currently, he is leading the Risk Management Global Practice at Verdantix, where he leads the market research intelligence and provides 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.

Jos Gheerardyn

Founder and CEO


View bio

Jos Gheerardyn is at the forefront of revolutionising FinTech as the CEO and co-founder of Yield.io, an award-winning AI platform dedicated to model risk management and the first platform utilising AI for real-time model testing and validation on an enterprise scale. Passionate about algorithm monitoring, testing, and validation, Jos is an advocate for model risk governance and strategy and has 18 years of post-PhD experience in the financial services industry. Prior to his current role, he was active in quantitative finance both as a manager and an analyst. He has worked with leading international investment banks as well as with award winning start-up companies. He is the author of multiple patents applying quantitative risk management techniques on imbalance markets. Jos’ academic foundation is robust, holding a PhD in theoretical physics with a focus on superstring theory from the University of Leuven.

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.


January 30–February 1, 2024

Online, Emea/Americas



Early-bird Price

Ends January 5
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 Risk.net 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