Reduce tick-to-trade latency with Python, network tuning, and execution systems for a global proprietary trading firm’s crypto desk. This quant trading developer role owns the full path from infrastructure to live P&L; across DEX and CEX venues. Primary work centers on Hyperliquid, including node synchronization, market-data handling, order signing, and submission. The position also covers systematic trading and real-time risk. Key Responsibilities:
Measure latency, jitter, throughput, and order round-trip performance Tune network connectivity, CPU usage, and asynchronous event loops Build execution infrastructure and self-hosted Hyperliquid nodes Create latency analytics, kill switches, and position limits Trade strategies while managing leverage, margin, and funding exposure Requirements:
Three-plus years of live quant or systematic prop trading Proven production record reducing execution latency Hands-on network-level profiling and system tuning experience Robust Python with RPC, WebSocket, and smart-contract interaction Understanding of perpetuals, liquidations, funding, and microstructure Use low-latency engineering, Python, and crypto market expertise to improve execution quality and control live trading risk.