Teams at Chicago Trading Company

Build and operate large-scale data ingestion pipelines powering research and trading platforms. Own pipeline quality, reliability, performance, and data health; collaborate with traders, quantitative researchers, and data owners; optimize compute, storage, and SLAs; migrate pipelines to modern platforms; and implement tools to detect and resolve source-data quality issues.

Build and integrate LLM-based agents, coding tools, model infrastructure, and role-specific AI interfaces for engineers, quants, and traders. Develop inference, configuration, integrations, tracing, and access controls; improve system reliability and performance; prototype applications for research, simulation, and trading; and collaborate with users to prioritize solutions.

Lead a team developing high-performance C++ delta trading systems, including valuation, execution, and post-trade infrastructure. Drive architecture, technical design, testing, optimization, and operational safety while collaborating with traders, quants, and technologists. Mentor engineers, manage concurrent projects, prioritize initiatives, and resolve production issues. The role requires expertise in low-level systems, computer architecture, networking, multithreaded and distributed systems, and performant software engineering; trading industry experience and people management are preferred.