Teams at Jump Trading Group

Build and maintain LLM-powered, agent-based tools that automate developer and quantitative researcher workflows. Collaborate with platform and infrastructure teams to deliver scalable solutions, applying prompt engineering, tool integration, access controls, and observability. Own projects from prototyping through deployment, rollout, and documentation while promoting strong engineering standards. The role requires Python, LLM API integration, AI application development, Linux, networking, and software engineering fundamentals.

Support a New York trading team by operating and improving production trading infrastructure. Responsibilities include ensuring market connectivity and data availability, monitoring and resolving failed jobs, stabilizing and optimizing pipelines, improving ML and GPU workload performance, developing and testing systems, deploying upgrades, troubleshooting user issues, and maintaining rollout and rollback processes.

As a Quantitative Researcher, you'll analyze data sets, develop predictive models, and collaborate with teams to advance trading strategies.