AI-driven risk management in finance
View AgendaKey reasons to attend
- Examine the diverse applications of artificial intelligence (AI) in risk management
- Navigate the latest regulatory frameworks impacting AI
- Identify and mitigate AI-related risks
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.
About the course
AI has revolutionised risk management in finance, introducing ground-breaking approaches to identify and mitigate risks. This course provides an in-depth exploration of AI’s dual role as a source of risk and a powerful tool for managing it, covering financial and non-financial risks.
Participants will discover the regulatory frameworks shaping AI use, as well as ethical considerations and data privacy challenges. Expert practitioners will share case studies on generative AI, showcasing its applications for qualitative risk management and as a virtual risk manager.
Attendees will gain practical insights into implementing AI in risk management, from model validation techniques to addressing challenges such as transparency, fairness and bias in AI models.
What participants say:
“This was a very good introduction to AI. I liked the overview and just the right level of technical details. Catered to different backgrounds of the participants”
“The session was very practical and we covering all aspects of using AI for financial. Highly recommended course for bankers, supervisors and issuers”
“Speaker had industry experience and provided real world perspective”
Pricing options*:
- Early-bird rate: save up to $800 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
- Address ethical considerations and data privacy challenges
- Apply AI techniques to enhance financial and non-financial risk management
- Develop skills for effective data collection and preparation
- Implement model validation techniques to improve AI performance
- Explore the challenges and opportunities of AI adoption
- Understand the role of explainable AI in building trust
Who should attend
Relevant departments may include but are not limited to:
- Risk management
- IT and data
- Validation
- Model risk
- Quantitative finance
- Financial crime
- Operational risk
- Risk technology
- Compliance
Agenda
June 3–5, 2025
Live online. Timezones: Emea/Americas
Agenda sessions:
- Artificial intelligence (AI): understanding fundamental dynamics
- Introduction to AI in risk management
- Implementing AI governance
- AI and data management
- Model risk management for AI
- Using AI to enhance risk management
Tutors:
- Jose Blasco, founder and quantitative strategist, Traddictiv
- Jesús Calderón, managing director, Maclear Data Solutions
- Antony Hibbert, AI governance expert
- Jos Gheerardyn, co-founder and chief executive, Yields
- Paul Chammas, co-founder and managing partner, Quantum Risk Advisory
Tutors

Jesús Calderón
Managing director
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.

Antony Hibbert
AI Governance Expert
ING Bank
Antony is an AI Governance Expert at ING Bank, specializing in data protection (19+ years), cybersecurity (15+ years), risk management (4+ years), and ethics (4+ years) in the AI domain. With a background in both law and cybersecurity, he focuses on keeping the AI department at ING out of trouble and keeping the trust of its customers. He speaks regularly at international conferences about data protection and cybersecurity, like #Risk, Amsterdam. As an experienced AI Governance Expert, Antony has helped financial services and tech companies bring order to the chaos, by navigating the path to responsible AI. Currently based in the Netherlands, he has had great adventure in moving here from my hometown situated on the north coast of Australia, via the long route of London and Frankfurt.

Jos Gheerardyn
Founder and CEO
Yield.io
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.

Paul Chammas
Managing partner
CLARICE SAS

Jose Blasco
Founder
Traddictiv
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:
- Mitigating model risk in AI
- Can financial firms grasp the AI opportunity?
- Elevating financial crime compliance and data management through AI
A Risk.net subscription will provide you access to these articles. Alternatively, register for free to read two articles.