Agenda - Preconference Day: Summits & Workshops

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Quant Tech and AI Summit

07:30 - 09:00

Registration and morning refreshments

09:00 - 09:10

Chair's welcome remarks

09:10 - 09:55

Next-Gen quant infrastructure: AI, quantum, and cloud-native architecture revolutionising financial markets

A big picture look at the technology stack powering modern quant finance. How are firms leveraging machine learning, quantum computing, GPU acceleration, and cloud infrastructure to navigate complexity, scale operations, and stay ahead in an increasingly data-driven landscape?

09:55 - 10:30

Accelerating time-to-market: cloud-native quant platforms and DevOps excellence

10:30 - 11:00

Morning break and networking

11:00 - 11:40

AI in risk management

Jun Yuan - Managing Director, Global Risk Analytics, Royal Bank of Canada

11:40 - 12:20

LLMs in finance: from document processing to trading signal generation

12:20 - 13:30

Lunch break and networking

13:30 - 14:10

Agentic AI for math finance

Chris Kenyon - Global Head of Quant Innovation, MUFG Securities

14:10 - 14:50

GPU computing and HPC: unlocking performance for complex derivatives and risk calculations

14:50 - 15:30

Automated testing frameworks for trading algorithms

15:30 - 16:00

Afternoon break and networking

16:00 - 16:35

Cybersecurity considerations in algorithmic trading infrastructure

16:35 - 17:10

MLOps at scale: industrialising machine learning for trading and risk

17:10 - 17:45

Deep hedging of interest rates derivatives

Daniel Mayenberger - Head of Quants Markets Solutions – Digital Products, J.P. Morgan

17:45 - 17:55

Chair's closing remarks

Preconference Day: Summits & WorkshopsMonday, 16 November 2026 - GMT (Greenwich Mean Time, GMTZ)

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