ORE in the Era of Agentic AI
Abstract
Presented at the LSEG Quant Summit London 2026, exploring the capabilities and limitations of Large Language Models (LLMs) in writing pricing and risk models, alongside real-world examples of how AI agents create value within the Open-Source Risk Engine (ORE) framework.
Date
May 11, 2026
Event
LSEG Quant Summit London 2026
Location
Paternoster Square, London, UK
Joey O'Brien
Principal Consultant
Principal Consultant in the Quant Services division of LSEG, specializing in model validation, derivative pricing, and risk solutions.