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Responsibilities:
- Build event-driven market simulators and scalable multi-agent runtimes.
- Implement strategy interfaces, backtesting, matching, fees, slippage, and risk models.
- Orchestrate hundreds or thousands of agents with robust state, logs, and recovery.
Requirements:
- Based in or able to work from Hangzhou with 5+ years in backend, distributed systems, or quantitative infrastructure.
- Strong Python plus Go, Rust, C++, or high-performance data systems.
- Practical knowledge of backtest bias, market microstructure, time series, and experiment design.
About the role:
- Focus on reliable simulation and reproducible experimentation.
- Emphasize infrastructure for trading agent research over marketing claims.