Independent Fintech Analysis · Published weekly

Making sense of fintech, AI,
and the infrastructure
reshaping capital markets.

Independent analysis for finance professionals who need signal, not noise.

Our Coverage

Four verticals. One editorial standard.

We focus where finance, technology, and regulation collide — and where the real decisions get made.

AI & Banking Intelligence

How machine learning, generative AI, and automation are reshaping credit, fraud, payments, and compliance — analyzed through the lens of practitioners, not vendors.

Payments & Infrastructure

The plumbing of modern finance: real-time rails, card networks, open banking, and the regulatory shifts creating winners and losers across the payments stack.

RegTech & Compliance

DORA, MiCA, Basel III, SOX — translated from policy language into operational reality. What new regulation means for your stack, your budget, and your roadmap.

Embedded Finance & Open Banking

BaaS, card-issuer programs, credit aggregation, API infrastructure — who is building, who is acquiring, and where the margin actually lives.

Latest from the Desk

Recent analysis

The Bridge Newsletter

Regular field notes on what matters.

Concise, opinionated analysis across banking, payments, RegTech, and AI — written by practitioners who have built real systems at real institutions.

Plus optional SMS alerts for time-sensitive market developments that can't wait for the next edition.

Financial Insight Technology, Inc.
44 Wall St., #705, New York, NY 10005

Why The Bridge?

Why finance professionals read us.

Practitioner-written

Our contributors have built systems at banks, payment processors, and regulators. No junior analysts, no recycled press releases.

Concise and actionable

Regular focused analysis. No daily email bombardment, no 40-page PDFs.

Independent

We do not accept vendor sponsorship for editorial content. Our analysis is ours.

SMS alerts when it matters

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Common Questions

Common questions.

About

We built the publication we wish existed when we ran the desk.

The Finance Tech Hub was started by a small group of finance and technology operators who spent years inside banks, payment companies, and regulators — and grew frustrated with analysis written by people who had never shipped a system or survived a compliance audit.

So we built something different: an independent analysis platform where every contributor has real operational experience in the domains they cover. No vendor content. No sponsored takes. No 30-page reports that say nothing.

Just clear, honest analysis of the forces reshaping financial infrastructure — published on our terms.

Mission

Help finance professionals navigate technology decisions with better information, fewer blind spots, and more defensible outcomes.

Vision

A financial system where capital flows are programmable, transparent by default, and audited by software at the speed of business.

Operating principles

Practitioner-only contributors. Outcomes over opinions. Plain English over jargon. Publish only what we would stake our own reputation on.

2019
Year founded
42
Publications per year
180+
Insights published
4
Contributors
Our Contributors

Operators, not interns.

Every contributor on the team has shipped real systems that handle real money for real institutions.

Knowledge hub

Field notes from the frontier of finance.

Research, frameworks, and contrarian takes from our practitioners.

Contact

Get in touch.

Whether you have a question about our analysis, want to contribute a perspective, or need to reach our editorial team — we typically respond within one business day.

The Finance Tech Hub
44 Wall St., #705
New York, NY 10005
support@thefinancetechhub.com
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Field note
By

The first habit is what we call compliance-by-design — the practice of embedding model risk officers and data governance leads in the build team from day one, rather than presenting them with a finished system at the gate. The second is a deliberate narrowing of scope: shipping one well-defined workflow end-to-end before expanding, rather than letting the pilot creep into a platform.

The third habit is uglier but more important. The teams that ship invest disproportionately in evaluation infrastructure — not just model metrics, but business-outcome metrics that the audit committee actually understands. They build the dashboard before they build the model. The fourth habit is structural: a named executive sponsor who has the authority to override a procurement objection, and who is willing to use it.

What separates the seven from the thirty-one is not technological sophistication. It is the patience to do the unsexy organisational work that production AI requires. The model is the smallest part of the problem...

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Contributor, The Finance Tech Hub