About the role
You own the frameworks that prove (or disprove) strategies before deployment — realistic fees, slippage, latency, and out-of-sample validation included.
Responsibilities
Develop high-fidelity backtesting with tick data and order-book replay
Implement walk-forward optimization, Monte Carlo, and performance attribution
Build reproducible pipelines — versioned datasets, clear APIs, documented assumptions
Surface lookahead bias, survivorship bias, and overfitting risks early
Requirements
Production experience with simulation systems used for go-live decisions
Strong software engineering habits and data pipeline design
Python required; C++ experience a plus for performance-critical paths