AI-driven risk management in finance
About the course
While AI technologies have reshaped how organisations are identifying, assessing, monitoring and managing risk, successful adoption requires a clear understanding of these technologies, the associated risks and a robust governance framework. This course provides an in-depth exploration of AI’s dual role as a source of risk and a powerful tool for managing it, with content spanning the fundamentals of AI, machine learning and generative AI to responsible use and ethical considerations.
Participants will explore how AI can be integrated across their organisation, while also addressing challenges associated with implementation, including data governance and transparency. Through the examination of regulatory expectations and the resulting uncertainty, participants will discuss ways to manage bias, interpret outcomes and effectively communicate with regulators and senior management.
Key sessions will focus on generative AI and its potential to support qualitative risk management activities and practical approaches to validating, monitoring and challenging AI models.
This course will equip participants with the skills needed to effectively utilise AI capabilities in their organisations and establish strategies for managing new risks as they arise.
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 sessions were very practical and we’ve covered all aspects of using AI for financial industry. Highly recommended course for bankers, supervisors and issuers”
“Speakers had industry experience and provided real world perspective”
Learning objectives
- Understand regulatory expectations shaping AI adoption
- Assess how AI can enhance risks management across your organisation
- Evaluate strengths and limitations of AI models, including prediction uncertainty
- Address ethical considerations and data privacy challenges
- Develop skills for effective data collection and preparation
- Implement model validation techniques to improve AI performance
- Explore ways AI can be applied to qualitative risk management tasks, such as reporting
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
- Data governance
- Treasury
- Internal audit
Agenda
Tutors
Thomas Obitz
RiskTransform
Founder, expert adviser and programme manager FRTB
Thomas Obitz, a Risk Learning faculty member, has more than 20 years of consulting experience in investment and commercial banking and broader financial markets. He focuses on risk transformation and works with global banks on their implementation of FRTB. Thomas has publications on risk change and FRTB, is GARB FRM certified and has a MSc in financial mathematics.
Marlene Dehart
Southern Bancorp
Head of information security
Marlene is a Senior level Cybersecurity and Information Security Certified Information Systems Security Professional (CISSP). She is responsible for providing strategic and technical direction in secure product and service delivery, architecture and assurance, risk management, and compliance oversight. Her proven track record and leadership abilities, coupled with sincere passion and commitment, has enabled her to achieve measurable success in the information security profession and the emerging Cyber Security forefront.
Jose Blasco
Traddictiv
Founder
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.
Registration
October 6–8, 2026
Online
13:30 BST
$2,499
Enquire about:
- Agenda and registration process
- Group booking rates
- Customisation of this programme
- Season tickets options
Accreditation
This course is CPD (Continued Professional Development) accredited. One credit is awarded for every hour of learning at the event.
Enquire now
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