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For Two Sigma / G-Research / XTX-style seats · ~3 weeks

Quant Researcher (Stats + ML)

Statistics that survive contact with markets, and the machine-learning round: bias-variance, leakage-proof validation, regularization, and the finance-specific traps.

13 steps
  1. 1

    Variance of a Die

    Medium · Private

    →
  2. 2

    Sixty Heads

    Medium · Private

    →
  3. 3

    Carrying the Normal Table

    Easy

    →
  4. 4

    Halving the Error

    Easy

    →
  5. 5

    What the Slope Really Is

    Medium · Private

    →
  6. 6

    Diversification Arithmetic

    Medium · Private

    →
  7. 7

    π from Darts

    Easy

    →
  8. 8

    Eigenvectors as Risk Axes

    Medium · Private

    →
  9. 9

    Bias, Variance, and the Noise Floor

    Medium · Private

    →
  10. 10

    Why Your Backtest Lies

    Medium · Private

    →
  11. 11

    Ridge vs Lasso, and Why Quants Love Ridge

    Medium · Private

    →
  12. 12

    Solve 20 statistics questions total

    0/20

    →
  13. 13

    Solve 20 machine-learning questions total

    0/20

    →
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