Teams at Belvedere Trading

Conduct quantitative research for algorithmic trading and market-making strategies. Design, test, deploy, and monitor models supporting pricing, risk, and execution. Build research and backtesting tools, analyze large datasets and model outputs, and collaborate with traders, developers, and senior researchers to translate hypotheses into production trading decisions. Continuously improve strategies based on market dynamics, data drift, and performance results.

Support traders by troubleshooting and resolving proprietary trading system issues, documenting incidents, monitoring system components, analyzing logs, and identifying root causes. Automate manual support tasks, develop proactive monitoring tools, improve support processes, and maintain knowledge resources. The role requires collaboration with developers and peers, strong communication, critical thinking, and participation in on-call and alternate-shift coverage.

Design, develop, optimize, deploy, and maintain high-performance market data and automated trading systems. Process raw market data feeds, implement CME and Cboe exchange protocols, and optimize concurrency, throughput, scalability, and ultra-low-latency performance. Collaborate with traders, quantitative researchers, analysts, and engineers while supporting critical applications, automated testing, peer reviews, and best practices. Coach junior engineers and take ownership of projects from design through maintenance.