Jamie Twiss
Carrington Labs CEO
Jamie Twiss is an experienced banker and a data scientist who works at the intersection of data science, artificial intelligence, and consumer lending. He currently serves as the Chief Executive Officer of Carrington Labs, a leading provider of cash flow underwriting solutions and risk analytics tools to large and mid-sized banks and non-bank lenders across the US and Canada. Previously, he was the Chief Data Officer at a major Australian bank. Before that, he worked in a variety of roles across banking and financial services after beginning his career as a consultant with McKinsey & Company.
Jamie frequently speaks on topics including next-generation loan decisioning, implementing artificial intelligence in large organisations, data management and governance, and building a data and AI culture.
He holds an AB from Harvard University, an MBA from Stanford University, and a Master’s degree in data science from the University of New South Wales. He lives in Sydney, Australia.
2026 Agenda Sessions
Can agentic startups win by replacing ops, not just scaling them?
As lean teams look for exponential leverage, a new class of agentic fintechs is rewriting the playbook on growth. Instead of hiring armies of operations staff, these companies are deploying autonomous AI agents to run support queues, close compliance gaps, and even manage reconciliation workflows. But what’s hype, and what’s hitting real milestones?
Join a candid conversation with founders, engineers, and investors behind some of the boldest AI-native companies in fintech. We’ll explore how they’re deploying agentic systems in production, what tooling they rely on, and how they measure value beyond the demo.
Takeaways:
• Understand how AI agents are being used to replace, not just augment, core operations.
• Learn which tools and frameworks startups are using to operationalize agentic workflows.
• Gain insights into early benchmarks and investor criteria for AI-native traction.
Tuesday 31 March 08:50 - 09:30 The Pulse
AI & Agentic Systems
Data & Personalization
Infrastructure & APIs
Join a candid conversation with founders, engineers, and investors behind some of the boldest AI-native companies in fintech. We’ll explore how they’re deploying agentic systems in production, what tooling they rely on, and how they measure value beyond the demo.
Takeaways:
• Understand how AI agents are being used to replace, not just augment, core operations.
• Learn which tools and frameworks startups are using to operationalize agentic workflows.
• Gain insights into early benchmarks and investor criteria for AI-native traction. The Pulse US/Pacific
