Financial Crime Summit Agenda

• What are the most significant financial crime risks that financial institutions face today, and how can these risks be effectively mitigated across the three lines of defence?

• What are the opportunities and challenges for financial institutions to implement AI to combat financial crime?

• What steps can financial institutions take to ensure their compliance teams have the necessary resources and expertise to keep pace with evolving financial crime risks?

• How can banks collaborate more effectively with law enforcement agencies and other stakeholders to combat financial crime on a global scale?

• How can banks leverage emerging technologies to enhance their financial crime compliance efforts across the 3 lines of defence?

• How can banks navigate the fragmented regulatory landscape in order to establish a golden standard for digital asset risk frameworks?

• To what extent is the current financial crime operating model adequate to manage risks for digital assets and crypto currencies? 

• How can banks implement robust source of wealth and source of funds checks to complete the lineage of crypto and digital assets?

• Are existing governance frameworks, technologies and application controls sufficient for the challenges posed by digital assets?

• How can banks enhance their Customer Due Diligence (CDD) process during client onboarding to identify and assess higher-risk customers

• How do you prioritize which areas of the KYC and CDD processes to focus on for cost savings and efficiency gains?

• How can banks leverage technology and data analytics to streamline the EDD and CDD processes while ensuring accuracy and effectiveness?

• What are the best practices for conducting ongoing monitoring of customer behaviour and transactions to ensure compliance with AML/CFT regulations and detect any potential changes in risk level or suspicious activity?

• What are the key challenges and best practices in sanctions compliance monitoring and reporting?

• What kind of strategies can be used to ensure ongoing compliance?

• How can banks assess and analyse their customer data to identify potential sanctions risks and implement appropriate risk-based measures?

• How can technological innovations such as ML and AI be leveraged to enhance sanctions screening and compliance processes?

• What kind of collaboration and information-sharing can be used to stay informed of emerging risks and to respond quickly to new sanctions-related challenges?

• How can banks optimize their sanctions compliance programmes to ensure they are effective and efficient, while also avoiding false positives and reducing the burden of manual reviews?

• What are best practices for managing the complex and ever-changing landscape of sanctions and how can banks stay ahead of the latest developments and requirements?

• How can technology be leveraged to support sanctions compliance efforts?

• What are some of the key challenges that banks face when implementing sanctions compliance programmes, and how can these challenges be addressed effectively? What lessons have been learned from past experiences?

• What are some of the key challenges that banks face when implementing continuous KYC monitoring, and how can these challenges be addressed effectively?

• How can technology be leveraged to support continuous KYC monitoring, and what are some of the key features and capabilities that a successful technology solution should offer?

• What are some best practices for integrating continuous KYC monitoring into existing KYC and AML processes, and how can banks ensure that their monitoring efforts are effective and efficient?

• How can banks strike the right balance between the benefits of continuous KYC monitoring and the need to respect customer privacy and avoid potential regulatory compliance issues? What are some strategies for achieving this balance?

• What steps need to be put in place to mitigate risks created by common techniques criminals are using?

• How can AI and data analytics be leveraged to detect and prevent fraud?

• What data sources are most valuable for fraud prevention purposes?

• What are some best practices for balancing the need for stronger fraud prevention measures with the desire to maintain a seamless customer experience?

• What kind of data should financial institutions collect and analyse to improve their ability to detect and prevent digital fraud?

• What does a good fraud team look like?

• How should banks keep up with the constantly evolving regulatory landscape and ensuring compliance with changing requirements?

• To what extent can regulators assist in resolving the critical data challenges that banks face in preventing financial crime?

• How can financial institutions and regulatory authorities collaborate to establish a more resilient framework for preventing financial crime?

• How can the implementation of cutting-edge technology and advancements in AI enhance and expedite financial crime detection and prevention?

• How can banks leverage advanced technologies such as natural language processing, machine learning, and artificial intelligence to enhance the effectiveness and efficiency of adverse media screening in the KYC process?
• With the increasing volume and complexity of adverse media data, how can banks effectively manage and analyze this data to identify relevant and actionable information?
• How can banks incorporate real-time and continuous monitoring of adverse media sources into their KYC processes to ensure ongoing compliance and prompt identification of any adverse events or changes in customer risk profiles?

• What is the most effective strategy for reducing the number of false positives generated by transaction monitoring systems, while still capturing all suspicious activity?
• How can alert volumes be effectively managed to ensure that investigators are able to focus on the most high-risk alerts?
• What are some best practices for incorporating new and emerging technologies into transaction monitoring systems to keep pace with evolving financial crime threats?
• How can data quality issues be resolved to ensure that the transaction monitoring system is capturing all relevant activity?

• How can sanctions teams effectively identify and monitor sanctions-related risks across a diverse range of products, services, and business lines? What are some best practices for developing a comprehensive sanctions risk assessment programme?
• What technologies or tools can help support effective real-time monitoring of sanctions risks?
• What are some of the emerging risks and challenges associated with managing sanctions risk in the context of emerging technologies such as blockchain and cryptocurrencies?
• How can financial institutions effectively manage these risks while balancing the need for innovation and growth?

• What specific financial crime prevention use cases can AI and machine learning be applied to within banks?

• How can technologies be leveraged in a way that is compliant with regulatory requirements and aligned with risk appetites?

• What kind of data and infrastructure needs to be in place to effectively implement AI and machine learning in a financial crime prevention programme?

• How can staff be adequately trained to use and interpret the results of AI and machine learning models in financial crime prevention programmes?

• What kind of governance and oversight mechanisms need to be in place to ensure that use of AI and machine learning in financial crime prevention is ethical and responsible?