Top Data & Analytics Jobs in Chicago, IL

As a Lead Data Architect, you will develop strategies for data delivery implementations that align with client business goals, improve data management, and lead technical teams. Responsibilities include assessing data management technologies, articulating architectural trade-offs, providing insights to stakeholders, and driving innovative solutions in the data space.

The Quality Assurance Compliance Analyst will perform quality assurance reviews of account and trading activities to ensure compliance with regulations. Responsibilities include analyzing data, advising management, reviewing for suspicious activities, and contributing to process improvements. Ideal candidates will have regulatory compliance experience or relevant educational backgrounds, with strong analytical and communication skills.

The Implementation Analyst will manage customer implementations from start to finish, ensuring a smooth process while providing guidance and support. Responsibilities include overseeing data requirements gathering, platform configuration, training, and working with cross-functional teams to improve customer workflows.

Senior Analysts at Red Chalk Group will advise clients on strategic issues related to growth initiatives and disruptive technology, focusing on analytical and quantitative components of client engagements, especially with Fortune 500 companies. They will also synthesize findings and communicate insights to senior management.

The Senior Data Engineer will implement data ingestion and transformation pipelines, design scalable ETL processes, and support data platforms. The job involves working with various data formats and technologies, providing technical guidance, and collaborating with cross-functional teams to solve complex business and technical challenges.

The Senior Options Quantitative Researcher will develop options pricing and risk models, improve volatility valuation, research volatility alphas, collaborate with trading teams, and mentor junior staff.

The Staff Data Engineer will design and optimize ETL workflows, develop data products, implement data pipelines, and enhance data observability, all while mentoring team members and ensuring compliance with legal frameworks.