Fintech
How fintech works, and the finance, marketing, data and AI that run it.
Fintech rebuilds financial services with software, unbundling banks and embedding finance into other products. From payments to lending to embedded finance, this vertical gives you the big picture, then finance, marketing, data and AI applied inside it.
Key terms
Why specialize in Fintech?
Cross-cutting skills are not enough in the Fintech sector. It plays by its own rules: a distinct value chain, specific players and balance of power, dense regulation, and key figures you won't find anywhere else. This vertical gives you that sector fluency — first the big picture, then finance, marketing, data and AI applied concretely to Fintech, with the calculations, benchmarks and checklists you actually need on the ground.
What you'll be able to do
- Understand how the Fintech sector works: value chain, key players and balance of power
- Know the major regulations and laws, the sector's acronyms and vocabulary
- Run the key calculations and read the benchmarks specific to Fintech (US and Europe markets)
- Apply finance, marketing, data and AI to the realities of Fintech
- Gauge your level with 5 sector assessments and a competency radar
70 lessons across 16 modules and 5 blocks, with a test per lens and a sector competency radar. Free to read — no account required.
Curriculum
Fintech: how the sector works
Generalhow fintech works: unbundling and re-bundling financial services, the main models (payments, lending, neobanks, embedded finance), and the regulatory/licensing reality.
4 Modules · 18 Lessons
Finance in fintech
Financefintech unit economics: take rates and interchange, the cost of funds and risk in lending, path to profitability, and how fintechs are valued.
3 Modules · 13 Lessons
Marketing in fintech
Marketingfintech growth: acquisition and trust for money products, virality and referrals, embedded distribution, and compliance in messaging.
3 Modules · 13 Lessons
Data in fintech
Datafintech data: transaction and behavioral data, alternative-data underwriting, fraud and KYC/AML, and data governance.
3 Modules · 13 Lessons
AI in fintech
AIAI in fintech: underwriting and fraud, personalization, support automation, and the fairness/regulatory constraints.
3 Modules · 13 Lessons