Top Data & Analytics Jobs in Chicago, IL

The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.

The Senior Compliance Analyst is responsible for developing, implementing, and overseeing compliance policies and procedures for a trading firm, ensuring adherence to SEC and regulatory standards, conducting compliance reviews, and managing employee training. The role requires strong project management and communication skills, as well as a deep understanding of compliance requirements in the options trading sector.

The role involves working in the Product Risk and Controls team to develop compliance strategies for Cash App, conducting compliance data analysis, establishing a risk and controls library, and partnering with various teams to enhance product and compliance control solutions.

The IT Customer Experience Analyst will lead the digital adoption initiatives, focusing on improving user engagement with digital services. Responsibilities include managing the 'Go Digital' campaign, ensuring timely execution of action plans, tracking progress, measuring success, and reporting updates to leadership. The role emphasizes user training and minimizing call escalation to customer support.

The Supplier Maintenance Analyst is responsible for reviewing and approving supplier documentation, ensuring compliance with IRS reporting, and maintaining supplier data in the Oracle ERP system. The role includes executing IRS filing, validating banking information, providing customer service, and collaborating with partners to resolve supplier setup issues.

The Senior Staff Data Engineer will design and build data pipelines and products within the Customer Information Management team, integrating complex data sets for analytics, mentoring junior engineers, and collaborating across teams to implement data engineering best practices.

Quantitative Researchers at Belvedere Trading conduct analytical research and develop mathematical models for options pricing and trading methodologies. They collaborate with trading and technology teams to enhance operations and generate quantitative strategies by applying various statistical techniques to financial data.