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, Web Socket, 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.