Learn AI Create the Future — with Pranay
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AI in the Real World Section 104

AI in Finance and Fraud

Money data is adversarial, regulated, and full of traps that make broken models look brilliant.

Every lesson in this section is written by .

9 of 9 lessons published Three reading levels on every lesson

Start with “Point-in-time financial data”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. Point-in-time financial data
  2. Backtesting without fooling yourself
  3. Credit scoring
  4. Reject inference
  5. Explaining a credit decision to a regulator
  6. How a real fraud system is built
  7. Finding fraud rings with graphs
  8. Anti-money-laundering monitoring
  9. Model risk management