Notes on credit models, data science in finance, and the math behind both.

A teaching blog, built one module at a time. Interactive widgets, downloadable cheat sheets and templates, and the kind of explanations I wish I'd had the first time I learned this material.

Credit Models

A full curriculum from FICO scoring to copula simulation. CFA-aligned where it matters.

• Module 1

  Foundations of Credit Risk

  The vocabulary, the master equation, and the regulatory backdrop you need before anything else makes sense.

All Credit Models modules →

Data Science in Finance

Practical machine learning, statistics, and modeling for credit and risk problems.

• Module 1

  EDA for Financial Data — The Gotchas

  Six ways financial data trips up exploratory data analysis: fat tails, survivorship bias, look-ahead bias, regime changes, missingness that means something, and time-zone landmines.

All Data Science posts →