Top Financial Services Data Engineering Jobs in Chicago, IL

The role involves coordinating systems analysis and design projects, leading Agile workboards, and acting as a liaison between business units and technical teams to improve data systems through automation.

Lead the Personal Insurance modeling team, driving innovation in predictive modeling, machine learning, and actuarial analytics, while managing team performance and collaboration with cross-functional teams.

The role involves designing and maintaining data pipelines, optimizing data architecture, developing visual analytics with Tableau and Power BI, project management, and collaboration with cybersecurity teams.

Lead and implement data and analytics solutions, architect data systems, provide assessments and roadmaps, and mentor teams in a consulting environment.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

The Data Architect will design scalable data platforms and governance frameworks, manage large datasets, and enhance data accessibility for researchers, leveraging cloud technologies and collaboration with application architects.

The Senior Quantitative Researcher will lead projects to enhance trading performance by developing real-time trading models and solutions for options trading, collaborating with traders and researchers.

As a Quantitative Researcher, you will develop sports pricing capabilities by designing data pipelines, calibrating pricing models, and deploying models into trading strategies.

The Lead Data Engineer will manage U.S. Data Strategy capabilities, translating business objectives into cloud data solutions, while ensuring scalability and security. This includes ETL, analytics, and technical leadership in a hybrid work environment.

The Data Integration Specialist manages data movement and consolidation from various sources, ensuring accurate datasets for business intelligence and data analysis while adhering to compliance and collaborating with teams on data alignment.