Chicago Trading Company

HQ
Chicago
783 Total Employees
Year Founded: 1995

Chicago Trading Company Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers accidental death & dismemberment insurance

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Offers performance bonuses

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers generous PTO

Provides paid holidays

Career Growth + Development

Provides tuition assistance

3 Days AgoSaved
In-Office
Chicago, IL, USA
Financial Services
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.
17 Days AgoSaved
In-Office
Chicago, IL, USA
Financial Services
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.
One Month AgoSaved
In-Office
Chicago, IL, USA
Financial Services
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.