Mean Reversion - GPSK
Developed and deployed statistical arbitrage strategies based on price reversion logic across equities and ETFs.
Computational Finance | AI-Driven Quantitative Research
Developed and deployed statistical arbitrage strategies based on price reversion logic across equities and ETFs.
Designed trend-following algorithms for mid-frequency strategies using cross-asset signals and regime detection.
Implemented volatility models using option.
Led infrastructure and codebase setup for high-frequency trading systems; latency optimization & exchange connectivity.
Built multiple alpha engines using machine learning, signal stacking, and market microstructure models.
Oversaw co-location infrastructure for low-latency execution and redundancy across Exchange data center.
Ensured system robustness, audit logging, and compliance with internal trading rules and external regulations.
Managed live trading, risk monitoring, order execution optimization, and P&L attribution across strategies.
Directed the quant team across R&D, implementation, and live deployment; strategic leadership and team mentoring.