Quantitative researcher specializing in high-frequency orderbook microstructure, recursive Kalman filter dynamic hedge ratios, and sub-millisecond execution engines. 4/4 institutional trading desks mastered with zero risk breaches.
Hiring Readiness
98/100
Top 0.5% Nationally
Audited Sharpe
3.84
Annualized · Zero Lookahead
Sprint Return
+342.8%
48h Alpha Sprint #42
Tick Latency
42 µs
WASM Profiler In-Memory
Max Drawdown
-2.4%
Peak-to-Trough Benchmark
Execution Win Rate
78.2%
18,490 Audited Fills
Audited Alpha Equity Growth Curve
Audited tick-by-tick simulation return vs. market benchmark
Sortino Ratio
5.12
Calmar Ratio
4.85
Beta to BTC
0.04
Daily Turnover
16.4x
Institutional Competencies
Verified across 26 challenge unit testsMastered Trading Desks (4/4 Desks Verified)
End-to-end sandbox simulations completed with audited risk guardrailsBenchmarked Challenge Solutions
Evaluated on Python 3.11 WASM execution engine| Code | Challenge Name | Runtime | Memory | Status |
|---|
Audited Strategy Code Snippet
WASM unit-tested execution algorithm
algorithm_solution.py
STRICT NO-LOOKAHEAD
// Strategy code loaded dynamically