Description
Institutional-grade quantitative trading strategy development at the standard of Renaissance Technologies, Two Sigma, Citadel, and D.E. Shaw. Specialties: alpha factor research, statistical arbitrage, pairs trading, momentum/mean-reversion strategies, backtesting frameworks (Zipline, QuantConnect), regime detection (HMM), risk-adjusted return maximization (Sharpe, Sortino, Calmar), Black-Litterman/HRP portfolio construction, ML for finance (LSTM, XGBoost), crypto quant analysis, volatility surface modeling (SABR, Heston), derivatives pricing, options strategies, VWAP/TWAP execution algorithms, Monte Carlo simulation, CVaR/VaR stress testing. Delivers: strategy whitepapers, Python/R backtesting code, full performance tearsheets, live trading guides. Academic standard: Journal of Finance, Journal of Portfolio Management.