Problem Bank / All Disciplines
DISCIPLINE TRACK 01 // DATA SCIENCE & QUANT ML

Data Science & Quantitative ML

Feature engineering on high-frequency order books, fractional differentiation for long-memory stationarity, annualized realized volatility estimation, Marchenko-Pastur covariance denoising, and GARCH(1,1) volatility forecasting.

TARGET DESKS: Citadel Two Sigma Millennium Point72

Track Problem Set

5 AUDITED INSTITUTIONAL CHALLENGES
5 of 5 Challenges
CITADEL TIER

Problem Title

Problem description...

MATHEMATICAL FORMULATION:
Formula
VERIFIED TALENT PASSPORT

Trader Name

READINESS SCORE
96/100
ANNUAL SHARPE
3.84
AUDITED RETURN
+342.8%