Teams at Chicago Trading Company

Develop and maintain real-time, high-throughput compliance systems for trading operations. Responsibilities include monitoring orders and quotes, detecting prohibited trading behavior, automating regulatory reporting, adapting controls to changing regulations, resolving production issues, documenting systems for audits, and leading cross-functional technology projects.

Build and operate research, backtesting, data, and execution infrastructure for quantitative researchers and traders. Responsibilities include productionizing research prototypes, maintaining shared datasets, optimizing numerical code, migrating pipelines to modern platforms, and developing model evaluation tools. The role requires strong Python, C++, statistics, software design, and scalable data pipeline experience, with preferred exposure to options trading, cloud or HPC platforms, Apache Iceberg, and high-volume market data.

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.