Monitor and manage trading platforms, Linux environments, and trading infrastructure across multiple markets. Support traders, troubleshoot complex issues using logs and packet captures, assist with onboarding new trading opportunities, and collaborate with Development, Trading, and IT teams on strategic initiatives, automation, and process improvements.

Own end-to-end quantitative research lifecycle for systematic trading: ingest and version tick and market data, build Python-based research infrastructure, develop microstructure and relative-value signals, backtest and validate strategies, collaborate with traders to deploy live signals, and continuously optimize execution and tooling.

Manage and scale proprietary trading strategies end-to-end: develop models, signals, and execution; own risk, positions, and P&L; collaborate with quants, engineers, and risk/compliance to grow strategy performance.