10 tutorials + interview prep

Quant Concepts

The mathematics and theory behind quantitative finance. No fluff — just the concepts you actually need.

The field, the roles, and what you need to know to get started.

Code the most famous formula in finance from scratch with Greeks.

Delta, Gamma, Vega, Theta — sensitivity measures for options.

Price options using Monte Carlo simulation in Python.

Why implied volatility varies across strikes and maturities.

Markowitz efficient frontier and optimal portfolio weights in Python.

Cointegration-based market-neutral strategy in Python.

Intro to ML techniques applied to financial prediction.

LSTMs, transformers, and neural networks for time-series forecasting.

Why your strategy fails in production and how to avoid common traps.

Probability puzzles, brainteasers, and coding challenges that quant firms actually ask.