Rethinking the quant risk stack: open source, cloud and AI

As the Fundamental Review of the Trading Book, the standardised approach to counterparty credit risk and valuation adjustments (XVAs) increase demands for model transparency, financial institutions need greater visibility into the calculations underpinning their risk numbers. As a result, more firms are turning to cloud-native infrastructure and artificial intelligence to open up new ways to deliver and interact with sophisticated risk analytics. 

This LSEG Data & Analytics paper explores how open-source models, managed cloud infrastructure and AI-powered interfaces could reshape the quant risk stack – making analytics more transparent, scalable and accessible across the institution. 

What you’ll learn:

• Why regulatory and technology pressures are challenging traditional proprietary risk infrastructure
• How open-source analytics and cloud delivery can combine transparency with scalability
• How AI could make complex risk calculations more accessible and explainable to risk managers.

Who should read this: 
CROs, market and counterparty risk leaders, heads of XVA, quantitative risk professionals, and risk technology and infrastructure leaders. 

Download the paper to explore how the next generation of quantitative risk infrastructure is taking shape.