Top Tech Jobs & Startup Jobs in Chicago, IL

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.

Conduct full-cycle technical recruiting across technology teams, including sourcing, partnering with hiring managers, developing search strategies, leading interview calibration, evaluating technical and cultural fit, and managing candidate experience through offers. The role requires strong direct sourcing, behavioral interviewing, communication, and familiarity with Codility and CoderPad. Candidates should have approximately five or more years of recruiting experience, ideally across search and corporate environments, with quant or proprietary trading experience preferred. Chicago or New York hybrid work is required.

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.

As a Senior Engineer on the Market Data team, you will design high-performance libraries for trading systems, ensuring fast and reliable market data delivery while collaborating with various teams.

Lead end-to-end compensation operations including the annual comp cycle, market pricing and benchmarking, survey participation, comp reporting, pay equity analysis, and compensation program management (401k, deferred comp, LTIPs). Partner with Finance on bonus pool modeling and scenario analysis, support HCM leaders on offers and separation packages, and drive process and tooling improvements across HCM.