jimmyshen

Senior Python Engineer

Systematic trader and quant researcher focused on crypto derivatives, based in Hong Kong. 

Over the past year I built my own research and execution stack from scratch: multi-venue L2 data pipeline (Polars, DuckDB, ClickHouse), event-driven backtester with deterministic replay, simulated matching, OMS and pre-trade risk. My main strategy, an intraday medium-frequency CTA on Binance/OKX perpetuals, has been live with my own capital for four months — frozen baseline 80.2% CAGR, 2.58 Sharpe, 8.96% MDD after fees, slippage and impact — and I reconcile research vs. live signals every week. Current research: order-book microstructure and short-horizon alpha on L2 event data, plus an automated factor-mining pipeline with IC/ICIR and multiple-testing gates. 

Before quant I spent several years in offensive and defensive security (penetration testing at Qihoo 360, blue-team lead for financial-sector clients in national cyber exercises, CISP-PTE). It shapes how I work: verify before concluding, log everything, treat every backtest as guilty until proven innocent. 

Stack: Python (pandas, Polars, scikit-learn, LightGBM, statsmodels), SQL, Linux, working C++. 

Currently an MSc student at The Hong Kong Polytechnic University with evening-only classes, so I'm available full-time during business hours. Looking for a quant researcher / quant trader / trading intern role at a crypto prop desk or market maker in Hong Kong, Singapore or remote (Asia hours). Validation reports and live records available on request.


Experience: 4 years

Yearly salary: $40,000

Hourly rate: $30

Nationality: 🇨🇳 China

Residency: 🇭🇰 Hong Kong


Experience

Independent Quantitative Researcher
Self-employed
2025 - 2026
Systematic crypto trading research on Binance and OKX perpetuals. Built an intraday medium-frequency CTA strategy modelling trend formation from order-flow persistence, price response and liquidity state (Triple-Barrier labels + LightGBM). Validated with multi-year rolling walk-forward / OOS, selection-bias diagnostics and execution-cost stress tests; frozen baseline 80.2% CAGR, 2.58 Sharpe, 8.96% MDD after fees, slippage and impact. Live with own capital for 4 months, with weekly production-shadow replay to track research/live signal parity and drift. Ongoing order-book microstructure and short-horizon alpha research using L2 event data. Built an automated alpha pipeline (1,000–1,500 candidate factors per iteration, XGBoost screening, IC/ICIR and multiple-testing gates). Built the full stack: multi-venue trades/L2/derivatives data layer (Polars, DuckDB, ClickHouse), event-driven backtesting, deterministic replay, simulated matching, OMS and pre-trade risk.
Security Engineer (Penetration Testing / Blue Team Lead)
DBAPPSecurity, Tophant, Qihoo 360
2022 - 2024
Offensive and defensive security across three firms. At DBAPPSecurity (2022–2023): led blue-team defence for financial-sector clients in national cybersecurity exercises, managing a 15-person team running 24/7 security operations — incident triage, threat hunting and attack attribution (traced 5 attackers with evidence submitted to police); deployed bastion hosts and detection platforms, designed network segmentation, delivered 20+ attribution and post-exercise reports. At Tophant (2023): blue/purple-team support and client-site security coordination for attack-defence exercises. At Qihoo 360 (2024): penetration testing intern — enterprise pentests, vulnerability validation and risk assessment. CISP-PTE certified.

Skills

product-manager
quantitative-researcher
python
english