Reinventing financial crime investigation: From transaction to entity risk

In the battle against financial crime and risk, monitoring and detection alone is insufficient. Too often, financial services organisations find themselves mired in investigations that are narrowly focused on single alerts or without a holistic view of entity risk. These investigations take far too much time and require unending increase in people power.

Applying machine learning and robotics process automation (RPA) to financial crime investigations and operations can move financial institutions to a new era, enabling analytics-driven case management, automated evidence gathering and entity risk visualisation, and dynamic customer self-service resolution.

Key topics discussed in this webinar include:

• The latest challenges in financial crime investigations and risk management
• New and future threats, and how to stay ahead of the curve
• Applications of machine learning and RPA in financial crime investigations and operations
• Moving away from a siloed approach to an entity-based view of risk
• Melding new risk models with existing models
• How digital transformation can put data at risk

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