Automating data-driven risk management

The Panel

• Ajit Tharaken, General Manager, Data Intelligence
• Gordon Liu, Executive Vice-President and US Head of Global Risk Analytics, HSBC
• Svetlana Belyalova, Head of Operational Risk Management, Rosbank
• Moderator: Vicki Gavin, Head of Information Security and IT Risk Management, Kaplan International

Data is the foundation of risk management and compliance. Financial institutions are increasingly analysing data from multiple sources to identify and mitigate risk in their operations. However, data has not always been well utilised due to the challenges associated with common data management. In recent years this has been exacerbated by the growing volume and speed of transactions. Automating data-driven risk management may help financial institutions identify problems before they occur, and serve as an important tool in their risk management strategies.

This webinar explores the benefits of data-driven risk management, and how automation technologies such as artificial intelligence (AI) and machine learning can bolster risk management strategies.

Topics discussed:

• Applying data to risk management strategies
• How data, AI and machine learning can help identify and mitigate risk
• Understanding what data to use and when to use it.

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