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Track 01 · 12 modules

Credit Models

A complete teaching track on credit risk modeling. Built to be CFA-aligned where relevant — from FICO and Altman through Merton, CAMELS, Vasicek IRB, and copula simulation.

  • 01 Module 1 · foundations · basel · expected-loss

    Foundations of Credit Risk

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

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  • 02 Module 2 · fico · scorecards · woe · reject-inference

    Retail Credit Scoring

    How FICO actually works, how banks build their own scorecards with WOE and Information Value, and the reject inference problem nobody warns you about.

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  • 03 Module 3 · altman-z · ratios · corporate-credit · five-cs

    Corporate Credit Analysis

    The Five Cs, the ratios that actually predict default, the Altman Z-score in all three flavors, and why the accounting-based models eventually hit a ceiling.

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  • 04 Module 4 · interest-rates · term-structure · risk-premiums · central-banks

    Interest Rates: Where the Price of Money Comes From

    How to build any interest rate from named parts — real rate, inflation, and the risk premia — and why the same house, the same car, and the same borrower pay wildly different rates in the US and Mexico.

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  • 05 Module 5 · bonds · duration · yield-to-maturity · credit-spreads

    Bonds: Pricing the Promise

    Bond anatomy, price as present value, yield to maturity, duration and convexity, and the credit spread — the number that connects the bond market to everything else in this track.

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  • 06 Module 6 · merton · structural-models · kmv · distance-to-default

    Structural Models: Merton and His Descendants

    Equity is a call option on the firm's assets. Take that sentence seriously and you get default probabilities from market prices — the Merton model, KMV's EDF, Black-Cox, and Leland.

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  • 07 Module 7 · reduced-form · hazard-rates · cds · intensity-models

    Reduced-Form Models: Default as a Surprise

    Hazard rates, survival curves, Jarrow-Turnbull, Duffie-Singleton, and why the CDS market is the cleanest read on credit risk anyone has.

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  • 08 Module 8 · ratings · transition-matrices · creditmetrics · markov

    Ratings, Migration & Transition Matrices

    How the big three agencies actually work, through-the-cycle vs. point-in-time, how to read and build a transition matrix, and the CreditMetrics idea that turned migration into mark-to-market risk.

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  • 09 Module 9 · camels · basel · regulatory-capital · ifrs9 · cecl · stress-testing

    Bank Supervision & Regulation: CAMELS, Capital, and Expected-Loss Accounting

    How supervisors actually grade banks (CAMELS), what regulatory capital really is (CET1, RWA, buffers), what stress tests do, and why IFRS 9 / CECL changed loan accounting forever.

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  • 10 Module 10 · portfolio-risk · vasicek · correlation · basel-irb · asrf

    Portfolio Credit Risk: Correlation, Vasicek, and the Basel Formula

    Why the portfolio is a different problem than the loan, why correlation is the input that matters most and is known least, and the single-factor model that became the world's bank capital formula.

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  • 11 Module 11 · copulas · tail-dependence · cva · xva · wrong-way-risk

    Copulas, Tail Dependence & Counterparty Risk

    Why correlation is not dependence, the copula zoo and what each tail implies, Monte Carlo credit VaR, wrong-way risk, the XVA alphabet — and what actually broke in 2008.

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  • 12 Module 12 · machine-learning · xgboost · shap · sr-11-7 · fair-lending

    Modern Data Science in Credit

    Why ML in credit is harder than ML anywhere else, when XGBoost actually beats the scorecard, how SHAP turns black boxes into reason codes, and the two disciplines — model risk and fair lending — that decide what ships.

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