# Matthew Cheung
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matthew cheung Kin-chung, GBM, GBS, JP (Chinese: 張建宗; born 20 November 1950) is a Hong Kong government official serving as Chief Secretary for Administration since 2017. Cheung previously served as the Secretary for Labour and Welfare for ten years. He was awarded the Grand Bauhinia Medal (GBM) by the Hong Kong SAR Government in 2017.
GPT-5.5, Codex & AGI: Inside AI Adoption at the World's Biggest Banks | WIF Podcast
Today's guest is Matt Weaver, Head of Solutions Engineering for EMEA at OpenAI, working directly with some of the biggest names in financial services including Revolut, Alicabank, and BBVA.Before OpenAI, Matt spent four years at a pre-ChatGPT AI company helping banks extract data from documents usi…
Governed Data as the Competitive Moat in the Agent Era - Regulation and What It Means for Markets
The EU AI Act isn't GDPR. It's product safety law.In this episode of the ipushpull Capital Markets FinTech Forum podcast, Matthew Cheung sits down with Rosie Nance, Senior Knowledge Lawyer at Norton Rose Fulbright, to unpack what the EU AI Act actually is, how it sits alongside existing regulation,…
He left a top banking job to build his own bank | Mark Mullen, Co-founder Atom Bank
Today's guest is Mark Mullen, co-founder and CEO of Atom Bank, the UK's first app-based bank and the first digital challenger to win a full UK banking licence. Mark is a self-described accidental banker who read history at university, spent 24 years inside HSBC Group, and ran First Direct, one of t…
Inside NatWest's Approach to Agentic AI | Dr. Paul Dongha
In this episode of the ipushpull Capital Markets FinTech Forum podcast, Matthew Cheung sits down with Dr. Paul Dongha, Head of Responsible AI and AI Strategy at NatWest Group, to unpack what agentic AI actually means for banking, and why governance is what decides whether AI scales or stalls.Paul h…
How to Raise Your Agent Episode 8 | Matthew Cheung, CEO, ipushpull
This week, we close out our How to Raise Your Agent series with Matthew Cheung, CEO of ipushpull. David Greely sits down with Matthew to discuss how chat won the interface war in financial services, how AI is unlocking a trove of chat data for enterprise use, and why governance will be the key to w…
The Invisible Infrastructure Behind Revolut, Tide & Coinbase | Emma Hagan, ClearBank UK
Today's guest is Emma Hagan, CEO of ClearBank UK, the UK's first new clearing bank in over 250 years and the infrastructure quietly powering some of fintech's biggest names, from Revolut and Tide to Coinbase, across around 280 financial institutions.Emma has spent her career at the intersection of …
Fin.Tech Marketing Community Event 2026 Question Time | Daniel Carpenter, Tamara Kostova, Andy Smith, Rashmi Prabhakar, Anand Sindgi, Matthew Cheung
How is AI changing the future of FinTech?
Recorded live at the Fin.Tech Marketing Community, Carl Charlson is joined by Daniel Carpenter, Tamara Kostova, Rashmi Prabhakar, Anand Sindgi, Andy Smith and Matt Cheung to discuss how AI is transforming financial services.
From agentic AI and digital tran…
Why Fintechs Are Betting on Sports, AI in Fintech & B2B Marketing | Esfira Zakas CMO at payabl
Today's guest is Esfira Zakas, CMO at payabl, one of Europe's fastest growing payment service providers, and the engine moving money for merchants across the continent, from online checkouts and POS machines to multi-currency accounts and card issuing, at a company that has scaled to over 300 peopl…
Know Your Agent: What regulated trading needs before it trusts AI
AI agents are already shaping execution decisions in regulated markets, but the industry still has no agreed way to identify them, authorise them or trace what they did.Matthew Cheung, CEO of ipushpull, speaks to Rebecca Healey, Managing Partner of Redlap Consulting and author of the Mindful Market…
Stanford AI Expert’s Chilling Warning: 1.5 Billion Jobs Are in Danger | Alvin Wang Graylin
Alvin Wang Graylin, Digital Fellow at Stanford's Institute for Human-Centered AI (HAI) a, returns to Work in Fintech to explain why the AI jobs shock is years away, not decades. He puts it plainly: most thinking work could be replaceable within 3 to 10 years, and around 1.5 billion people worldwide…
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