Unlocking AI for risk management in financeView 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
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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)
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:
IT and data
Risk model validation
January 30–February 1, 2024
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
Maclear Data Solutions
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
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
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.
Founder and CEO
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.
The Risk.net resources below have been selected to enhance your learning experience:
Navigating the adoption of generative AI - Read article | Risk.net
Empowering risk management with AI Read article| Risk.net
AI in risk management: one giant leap forward or a risk too far? Read article | Risk.net
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