All tracks
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→
Variance of a Die
Medium · Private
- 2→
Sixty Heads
Medium · Private
- 3→
Carrying the Normal Table
Easy
- 4→
Halving the Error
Easy
- 5→
What the Slope Really Is
Medium · Private
- 6→
Diversification Arithmetic
Medium · Private
- 7→
π from Darts
Easy
- 8→
Eigenvectors as Risk Axes
Medium · Private
- 9→
Bias, Variance, and the Noise Floor
Medium · Private
- 10→
Why Your Backtest Lies
Medium · Private
- 11→
Ridge vs Lasso, and Why Quants Love Ridge
Medium · Private
- 12→
Solve 20 statistics questions total
0/20
- 13→
Solve 20 machine-learning questions total
0/20