Risk management systems, processes and real-time data aggregation techniques are rapidly evolving across financial institutions against a backdrop of high market volatility and rapid technological development
The need to accurately calculate real-time risk exposure is core to financial markets. It has been underscored yet again by left-tail events with the rapid increase in interest rates and recent bank failures.
Platforms continue to improve capabilities in stress-testing to understand how portfolio positions are impacted if the market tends in a specific direction. Nevertheless, risk managers are required to constantly assess their current infrastructures and move to new ones to effectively capture, manage and protect data.
In a recent Risk Live panel session sponsored by KWA Analytics, experts discussed the challenges and opportunities behind real-time data for risk management, the potential of cloud computing and digital transformation and effective resource allocation for optimal data management.
This article explores the key themes that emerged from the discussion.
The panel
- Ram Meenakshisundaram, Senior vice-president, quantitative services,
