Ingest flat client trade files and translate them into ORE-compatible XML portfolios using Python. Validate the output against ORE's XSD schema and automate valuation runs.
Joined the latest episode of LSEG’s Ahead of the Curve podcast alongside Xabier Anduaga and Stuart Smith to discuss the real-world impact and future of Agentic AI in quantitative risk management.
Presented at the LSEG Quant Summit London 2026, discussing LSEG’s internal adoption, integration, and scaling of the Open-Source Risk Engine (ORE) across its post-trade and risk services.