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Short card lessons in the maths quant interviews and technical degrees share: an idea, an example, a common mistake, a quick check.

  • Bayes and updating

    Turn new evidence into a new probability by counting cases, and keep base rates in view.

    3 lessons
  • Market-making theory

    Why quotes sit where they sit: edge, inventory, adverse selection and arbitrage.

    4 lessons
  • Multivariate statistics

    Read variables together: joint tables, the multivariate normal, covariance matrices, and when a correlation means a cause.

    4 lessons
  • Advanced probability models

    Hidden states, random arrivals, random paths and fair games: the models behind regime, flow and risk questions.

    4 lessons
  • Simulation and approximation

    Estimate what you cannot integrate, attach an honest error bar, and know when each shortcut leans the wrong way.

    4 lessons
  • Inference and estimation

    Fit parameters by likelihood, know the limit on their precision, test them, and shrink them when the sample is small.

    4 lessons
  • Bayesian deep dive

    Go past Bayes' rule: share strength between groups, update in closed form, choose actions by expected loss and predict what comes next.

    4 lessons
  • Time series

    Model what a series remembers, tell a level from its changes, and track a hidden state through noise.

    3 lessons
  • Information theory

    Measure uncertainty in bits, price a wrong model, detect dependence that correlation misses, and use entropy to choose tests and laws.

    4 lessons
  • Trading and risk

    Measure tail losses, price options without a forecast, read what risk-neutral weights mean, and test a forecast honestly.

    4 lessons
  • Problem-solving toolkit

    Four reusable moves for hard questions: rank distributions, split into cases, count with indicators and bound the tails.

    4 lessons
  • Brainteaser patterns

    The few ideas behind most interview puzzles: invariants and symmetry, parity and pigeonhole, games solved backwards, and working back from the end.

    4 lessons
  • Calculus and linear algebra refresher

    Derivatives, integrals, series, determinants, eigenvalues and linear systems: the university maths that quant tests and technical exams still ask.

    4 lessons