Date
Time
Program Fee
Format
Banking and Finance sector has seen a procession of crises and scandals, indicating continuing gaps in risk management outcomes. Regulators have aimed to address shortfalls with increased capital, oversight, penalties, and more recently, the introduction of executive accountability regimes.
This program is designed to equip senior management at both regulated firms and regulators with an understanding of the design of modern risk and compliance frameworks, their components, and the role that accountability frameworks are expected to play in order to achieve desired outcomes.
In looking at the design of risk and compliance frameworks, we will review the use of technology (RegTech), including the application of AI. The program will present how AI can streamline operations, enhance decision-making, boost efficiency, and address business challenges. Real-world case studies will be integrated to provide actionable context and examples.
While the benefits of using AI are lauded, its usage is not without risks or limitations. The program will discuss the risks and ethical (and regulatory) concerns in using AI and the guardrails organizations must put in place. Best practices will also be shared.
To reinforce learning, the program incorporates interactive, hands-on sessions. Participants will engage in discussions, explore real-world applications, and experiment with AI-powered tools to apply their newly acquired knowledge.
Articulate key elements of a risk management framework
Identify key challenges in achieving desired risk outcomes
Identify use cases for AI for different components of the risk and compliance framework
Formulate risks, issues and considerations in implementing AI within regulated financial firms
Anatoly Kirievsky