The Expert Hub

The people shaping finance and technology in Hong Kong and Asia

The Expert Hub publishes researched lists of the people doing the work in finance, technology and law across Hong Kong and Asia. Nobody pays to be on a list.

Format

AllRecognitionPerspective

Topic

All topicsFintech and financeStablecoinsAI reputationDigital assetsM&ACybersecurityLaw and regulation

Recognition · Stablecoins

People building the stablecoin market in Hong Kong

The 10 founders, bankers and regulators moving Hong Kong stablecoins into real use, including Eddie Yue of the Hong Kong Monetary Authority and Dominic Maffei of Anchorpoint Financial.

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Hong Kong skyline at night reflected in Victoria Harbour

Recognition

The Hong Kong fintech builders

Seven founders and operators building financial infrastructure out of Hong Kong.

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Search bar and cursor on a screen

Perspective

The difference between being visible and being accurately understood

Being mentioned often isn't the same as being described correctly.

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Layered illustration of a face in profile

Perspective

Why outdated biographies create conflicting professional identities

How old employer pages, event bios and directories keep shaping your profile.

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Finance chart with a glass globe

Recognition

Greater China Dealmakers 2026

Seven advisers and lawyers behind cross-border takeovers, listings and buyouts.

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Abstract network of connected points

Recognition

The most influential names in Asian digital assets

Seven investors and builders shaping Asia's digital-asset markets, from Animoca Brands to the Solana Foundation.

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Close-up of a circuit board

Recognition

The people driving cybersecurity adoption in Hong Kong finance

10 security leaders protecting Hong Kong's banks, exchanges and payment systems.

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Glass office towers seen from below

Recognition

The legal minds turning Hong Kong's fintech rulebook into practice

Seven lawyers turning Hong Kong's fintech and digital-asset rules into practice.

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Abstract lines forming a network

Perspective

What AI learns from your public professional footprint

Scattered, out-of-date career details change how AI reads your expertise.

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Hands holding a phone open on ChatGPT

Perspective

How to make your expertise easier to verify

Tie each skill to public proof, and describe it the same way everywhere.

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Close-up of a circuit board

Recognition

Hong Kong AI Voices 2026

The people Hong Kong hears on artificial intelligence, and the working systems behind what they say.

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FAQ

Questions about the Expert Hub

How does Expert Profile choose who appears on a list?

Our editors research public evidence, such as regulatory filings, deal announcements, interviews and firm biographies, and weigh documented work over job title. Lists run alphabetically and don't rank anyone. Each list states its selection criteria at the top and its method at the end.

Can someone pay to be included?

No. Inclusion can't be bought, and being listed doesn't mean we endorse anyone. Sponsorship is always disclosed and buys no inclusion.

How do I suggest a correction or a candidate?

Use the correction and suggestion form, or email editorial@expertprofile.ai with the public evidence. We check every claim against a primary source and date any change on the page.

How often are the lists updated?

Each list shows when it was published and last checked. We review lists whenever someone listed changes role.

What's the difference between a recognition and a perspective?

A recognition is a researched list of named people and the evidence for their work. A perspective is a short article on how AI engines form a view of a professional, and what keeps that view accurate.

Editorial standards

Recognition is never for sale

We choose people from editorial research and public evidence, such as filings, deal announcements and interviews. Sponsorship is disclosed and buys no inclusion.
If something's wrong, tell us and we'll correct it.

Lists aren't rankings. People appear in alphabetical order, and being listed doesn't mean we endorse a person or their firm.

Before we publish, we send each person their entry and correct any factual error they point out.

Corrections are checked against a primary source and dated on the page. People named in the hub can ask us to take their entry down.

AI observations are dated, because answers change.

Lists are written by Jackee Wong, Thomas Chan and Kai Teo, and every piece carries its author's name.

Suggest a correction or a candidate