Top Tech Jobs & Startup Jobs in Chicago, IL

Develop and maintain high-performance algorithms for pricing and risk management, collaborate with traders and quants, and ensure accurate model outputs.

As a Software Engineer, you will develop trading algorithms, collaborate with teams, and maintain the trading platform, leveraging your programming skills and problem-solving abilities.

Map and engage the PhD and postdoc research talent landscape for AI/ML, build academic relationships, run PhD-focused programs (fellowships, travel grants), source and pipeline candidates, and partner with recruiters and regional teams to deliver qualified research hires.

Build analytical tools, dashboards, and data pipelines to measure and optimize risk across trading businesses. Partner with Risk Managers and cross-functional teams to design, develop, and deploy production systems for exposure analysis, scenarios, capital, liquidity, and other risk factors.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

Conduct ML and deep learning research to build, test, and deploy predictive models for trading. Collaborate with traders, researchers, and engineers to engineer features, preprocess data, prototype algorithms, and improve production research tooling to enhance trading performance.

The Senior Procurement Manager oversees sourcing and managing hardware procurement, negotiates contracts, and collaborates with engineering and finance teams on vendor engagements and strategies.

The Procurement Manager supports purchasing operations by executing orders, maintaining data accuracy, and ensuring compliance with procurement policies across various categories. They collaborate with stakeholders and help improve purchasing workflows while also tracking and reporting on spending and supplier performance.

Lead development and deployment of ML models for trading, drive research and prototyping, oversee data and feature engineering, mentor researchers, and build scalable ML research infrastructure.

10-week in-person internship partnering with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market making, receive mentorship and professional development, and compete for a full-time Graduate Quant Researcher role.