Top Financial Services Data & Analytics Jobs in Chicago, IL

Lead the Global Data Science & Analytics Product Development team, leveraging data science expertise to build market-leading data products and analytic solutions.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Assist with identity data analysis, develop user interfaces for data scientists, produce operational dashboards, and maintain documentation for data assets.

The role involves complex data analysis, creating reports and dashboards, integrating data sources, and ensuring data quality while collaborating with business units to provide actionable insights.

As a Trading Analytics Engineer, you'll develop tools for traders, improve workflows, and optimize data access using Python and SQL to support financial analysis.

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

As a Payments Business Analyst, you'll optimize payment costs, manage fee configurations, and analyze data to provide insights for fee transparency while collaborating with various teams.

The Business Manager will lead credit risk management and product strategy through data analysis, shaping governance programs and driving strategic initiatives across various stakeholders.

The Senior Manager will lead independent reviews of Capital One's consumer credit portfolios, assessing strategies and governance, identifying risks and issues, and communicating findings to senior management and regulators.

The Analytics Solutions Manager will drive HR product decisions through advanced analytics, ensuring data accuracy and actionable insights for stakeholders.

Join OCC's data analytics team to enhance analytics capabilities, develop data solutions, collaborate with business units, and establish standards for data analytics processes.

The Data Integrity Engineer ensures data accuracy and reliability, maintains data pipelines, and collaborates with stakeholders to enhance data quality and analytics processes.

The Manager of Quantitative Risk Management supervises model development and maintenance while mentoring team members to improve risk models and ensure data quality.

The Senior Quantitative Analyst will define project objectives, manage projects, conduct data engineering, code, and ensure production compliance, while collaborating with stakeholders.