Top Tech Jobs & Startup Jobs in Chicago, IL

Build and maintain trading automation, data pipelines, and analytics to support market making; own reliability and incident response; partner with traders, researchers, and engineers to reduce manual work and scale improvements.

Design, operate, and own Optiver's global Microsoft 365 platform across collaboration, messaging, identity, and device access. Lead architecture, simplify hybrid complexity, implement observability and self-healing automation, run BAU operations, and deliver global rollouts and governance.

Lead global AI education and enablement programs across trading, technology, and operations: design curricula and one-off training, build train-the-trainer networks, partner with vendors, define metrics to measure impact, convert learning into product input for the internal AI platform, and manage executive stakeholders to drive AI adoption.

As an Equity Analyst, you will work with traders to evaluate market opportunities, perform analyses on events, and mentor junior analysts, leveraging your sector knowledge and fundamental analysis skills.

Conduct applied quantitative research on market and order-flow data: develop and validate predictive, statistical, and stochastic models using machine learning and deep learning, test hypotheses, and deploy ideas into live trading environments to identify trading opportunities and manage risk.

The Senior Sourcing Lead will lead cloud and AI sourcing strategies, negotiate hyperscaler agreements, and work with stakeholders to drive cost optimization.

Summer internship focused on quantitative research and trading: analyze market data, develop models and tools, run simulations, apply programming (Python), and learn from traders, researchers, and engineers to support trading decision-making.

Join as a graduate software engineer to build low-latency trading applications. Participate in an eight-week Global Academy, pair with a mentor, collaborate with engineers and traders, design well-architected systems, apply AI-enabled tools, and solve complex real-world problems to support rapid market decision-making.

Work with researchers, engineers, and traders to analyze large-scale market and order-flow data, develop predictive machine learning and deep-learning models, and build statistical and stochastic models for pricing, forecasting, and risk management. Contribute to AI-driven research projects, test strategies, and apply modern research techniques and AI-enabled workflows to accelerate discovery and improve trading performance during a supervised, apprentice-style internship.

Work as a mentored software engineering intern building production trading applications. Contribute to performance, reliability, and scalability improvements, collaborate with engineers and traders, and ship real-world code.