Jobs at Chicago Trading Company

Lead a team responsible for CTC’s developer experience platform, including build systems, CI pipelines, remote caching and execution, test policy, and pipeline performance. Consolidate fragmented codebases into a Bazel-based monorepo while supporting daily releases of live trading systems. Remain hands-on, measure platform improvements, remove migration barriers, and optimize build reliability, speed, and cost for engineers, quants, and traders.

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.

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.

Design, develop, and maintain high-performance trading systems and algorithms, requiring at least 4 years of software development experience.

Develop high-performance, low-latency trading systems for options market making, collaborating with traders and quants to enhance performance and trading infrastructure.

The Equities Research Analyst is responsible for analyzing the impact of various events on options pricing, conducting fundamental analysis, and developing tools to identify opportunities in equity markets in a fast-paced trading environment.

Lead quantitative research, driving revenue and trading capabilities through collaboration with trading and technology, and applying rigorous scientific methods to solve business problems.

The Quantitative Researcher will analyze market data to build models and drive innovation in trading strategies, collaborating with traders and engineers.

Partner with traders, quants, and technologists to architect high-performance full-stack solutions, triage and resolve issues, reuse platform services, participate in design and code reviews, and stay current on product and technology trends.

Provide live production support for trading systems: troubleshoot outages, monitor environments, automate workflows with Linux/Python/Bash, coordinate with traders and developers, own incident response, and improve runbooks and processes.

The Senior Quantitative Researcher will lead alpha research, develop predictive signals and models, analyze performance, collaborate with traders and engineers, and mentor junior researchers.