Teams at DV Trading

Analyze high-frequency limit orderbook and tick data to discover predictive signals; build and backtest quantitative models; develop and maintain data pipelines; apply statistical and tree-based machine learning methods; collaborate with researchers and traders to productionize and monitor live signals.

The role involves designing, implementing, and deploying a core trading platform in C++. Responsibilities include troubleshooting and collaborating with cross-functional teams to enhance trading systems.

Own and operate an on-prem Kubernetes platform for trading systems: cluster lifecycle, observability (metrics/logs/traces), GitOps CI/CD, infra automation, and onboarding/support for trading desks.