In today’s environment, financial institutions face challenges that include:
● New and more complex calculations due to regulatory demands (i.e., FRTB) and climate risk
● Explosive data growth and the need to move and analyze this data
● Limited on-premise compute capacity
● Need to improve time to value by accelerating risk model deployment to production
To help solve these challenges, Red Hat has worked with industry experts and market leaders to design a forward-thinking solution that allows financial institutions to better address current challenges and prepare for future needs.
In this presentation, based on real-world use cases, we will show how Red Hat’s market and credit risk calculation architectural framework:
● Scales the risk management platform by leveraging the power of the hybrid cloud to perform new and more complex calculations in less time at a lower TCO
● Accelerates development and deployment of risk models via modern DevSecOps practices
● Responds in real-time to market data and alternate data
● Improves risk management by orchestrating the many pre-calculation and post- calculation steps as automated business processes
● Reduces risk exposure by automating the handling of risk management events
● Supports incorporating AI / ML for high value decisioning and actioning
● Improves auditability and transparency with flexible rules-based decisioning