How to Learn FinTech: The Complete Roadmap

Описание: FinTech is enormous, and nobody tells you where to start. Here is the order I would learn it in: finance, software, data, systems, then one specialty.

This is episode 2 of Start Here. Episode 1 mapped what FinTech actually covers. This one is the learning path through it — seven steps, in the order each one depends on the last.

THE ROADMAP
01 Finance foundations — percentages and basis points, returns, compounding, present value, variance, probability, correlation, and what the instruments actually are
02 Software engineering — APIs, databases, testing, queues, caching, and the constraints that only apply to money
03 Financial data — market data, banking data, company data, and why good models still fail on bad inputs
04 Financial systems — payments, banking, lending, markets, wealth, insurance, RegTech
05 Specialization — the markets and quant path, the payments path, the banking path, the AI path
06 Projects — nine things you can build without permission, funding, or a job first
07 Production correctness — the edge cases that turn a working example into a real system

Three ideas the video argues for, and shows:
· Understand before you implement. A formula you cannot explain is a formula you cannot debug.
· Principles over frameworks. Data contracts, precision, state, idempotency, auditability and edge cases outlast every stack.
· Finance first, AI second. A model with no domain underneath it has nothing to stand on.

No investment advice, no predictions, no product recommendations. Every figure on screen is illustrative or synthetic and is labelled as such.

CHAPTERS
0:00 Why FinTech looks impossible to start
0:25 The roadmap: seven steps, in order
0:36 Step 1 — Finance foundations
1:04 Understand before you implement
1:28 Step 2 — Software engineering
1:43 Four ways financial software breaks
2:02 Principles over frameworks
2:13 Step 3 — Financial data
2:48 Good model plus bad data
3:06 Step 4 — Real financial systems
3:35 Capital markets, end to end
4:02 FinTech is a system of systems
4:18 Step 5 — The markets and quant path
4:52 Finance first, AI second
5:07 Step 6 — Build projects
5:32 Edge cases are the real system
6:01 Understand, contract, implement, prove
6:24 The short version of the roadmap
6:39 The forty-eight domain atlas
6:52 How to use the site

THE MARKETS PATH, DOMAIN BY DOMAIN
The seven stages at 4:18 are live sections of the atlas, in dependency order:

D01 Market Data Engineering — https://thefintechbuilder.com/domains...
D07 Technical Indicators — https://thefintechbuilder.com/domains...
D09 Statistical Time Series — https://thefintechbuilder.com/domains...
D11 Market Microstructure — https://thefintechbuilder.com/domains...
D13 Execution and Transaction Cost Analysis — https://thefintechbuilder.com/domains...
D14 Portfolio Construction — https://thefintechbuilder.com/domains...
D15 Investment Risk — https://thefintechbuilder.com/domains...

THE OTHER PATHS
Payments — https://thefintechbuilder.com/domains...
Banking ledger and reconciliation — https://thefintechbuilder.com/domains...
Lending and underwriting — https://thefintechbuilder.com/domains...
Fraud, AML and financial crime — https://thefintechbuilder.com/domains...
Wealth and robo-advice — https://thefintechbuilder.com/domains...
Insurance and actuarial science — https://thefintechbuilder.com/domains...
Clearing, settlement and custody — https://thefintechbuilder.com/domains...
Regulatory and compliance automation — https://thefintechbuilder.com/domains...
Forecasting and machine learning — https://thefintechbuilder.com/domains...

ABOUT
The Fintech Builder is a working library of financial algorithms. Every topic gets the same four stages: understand the concept, write the contract, implement it in Python and TypeScript, and prove it with tests against known values.

https://thefintechbuilder.com

DISCLAIMER
Educational content only. Nothing here is investment, financial, legal or tax advice. All figures shown are illustrative or synthetic and do not describe any real account, instrument, policy, institution or applicant.

#fintech #financialengineering #quantitativefinance