The map
How to Become a Quant
The whole field, in dependency order. Each stage builds on the ones above it. Green nodes are published lessons, click any to start; the rest are being written. This is the spine of the platform: the concepts feed the strategies, and the same material shows up in interviews.
- 1Mathematical FoundationsFoundational
Probability, linear algebra, and optimization, the language everything else is written in.
Probability SpacesRandom Variables & DistributionsExpectation, Variance & MomentsCommon DistributionsMoment Generating FunctionsThe Law of Large NumbersThe Central Limit TheoremBayes' TheoremMarkov ChainsMartingalesLinear Algebra for QuantsEigenvalues & EigenvectorsSingular Value DecompositionPositive Semidefinite MatricesConvex OptimizationLagrange Multipliers & KKT Conditions - 2
Estimation, inference, regression, and time series, done rigorously, with the failure modes.
Bias, Variance, and the Quality of EstimatorsMaximum Likelihood Estimation (MLE)Method of Moments and GMMHypothesis TestingConfidence Intervalsp-values and Multiple TestingOrdinary Least Squares (OLS)The Gauss–Markov TheoremHeteroskedasticityAutocorrelation and Serial CorrelationMulticollinearityEndogeneity and Instrumental VariablesStationarityARMA ModelsGARCH Volatility ModelsUnit Roots and the ADF TestCointegrationRidge and LASSO RegularizationBootstrap and ResamplingBayesian Inference - 3
From Markowitz to risk parity, covariance estimation, Kelly sizing, and tail risk.
Alpha (α)Beta (β)VolatilityMPT (Harry Markowitz)The Efficient FrontierThe Capital Asset Pricing Model (CAPM)Pitfalls of Mean-Variance OptimizationCovariance Matrix EstimationShrinkageLedoit-Wolf Covariance ShrinkageThe Black-Litterman ModelRisk ParityHierarchical Risk Parity (López de Prado)Factor Risk ModelsThe Kelly CriterionPosition SizingVol TargetingSharpe RatioSortino RatioInformation RatioCalmar RatioMax DrawdownValue at Risk (VaR)Expected Shortfall (CVaR)Coherent Risk MeasuresPortfolio Capacity - 4Derivatives & VolatilityAdvanced
Stochastic calculus, Black-Scholes, the Greeks, and the volatility surface.
Brownian MotionItô's LemmaRisk-Neutral PricingThe Black-Scholes ModelPut-Call ParityThe Option GreeksDelta-Hedging P&LImplied VolatilityThe Volatility Smile and SkewLocal Volatility and Dupire's FormulaStochastic Volatility and the Heston ModelThe SABR ModelVariance SwapsThe VIX IndexThe Term Structure of VolatilityGirsanov's TheoremThe Feynman-Kac TheoremExotic Options - 5Systematic Strategies & AlphaAdvanced
Market efficiency, the factor zoo, signal construction, and stat-arb.
- 6Backtesting & ML in FinanceAdvanced
How backtests lie, and the validation discipline that separates signal from noise.
Backtest DesignLook-Ahead BiasSurvivorship BiasData-Snooping BiasOverfittingWalk-Forward AnalysisCross-Validation for Time SeriesPurged & Embargoed Cross-ValidationThe Deflated Sharpe RatioFeature Engineering for FinanceTriple-Barrier LabelingTree Ensembles in FinanceBacktest OverfittingTransaction Costs - 7
Order books, adverse selection, market impact, and optimal execution.
Order Book MechanicsMarket vs. Limit OrdersBid-Ask Spread DecompositionAdverse SelectionThe Glosten-Milgrom ModelThe Kyle ModelMarket ImpactThe Square-Root Impact LawThe Almgren-Chriss ModelOptimal ExecutionTWAP, VWAP & POVThe Avellaneda-Stoikov ModelLatency & High-Frequency TradingTransaction Costs
→ Interview Prep
Turn this knowledge into offers: 300 questions, mocks, company guides.
→ Strategy Database
See the concepts assembled into full systematic strategies.
→ Learning Tracks
Work through each stage with progress tracking.