Top Senior Level Analysis Reporting Jobs in Chicago, IL

The Senior Business Manager will develop and oversee strategies to improve customer servicing and channel performance at Capital One. Responsibilities include strategic leadership, business ownership, leading product and marketing strategies, improving credit risk management, and coaching a team of analysts to drive business growth and profitability.

The Senior Compliance Analyst is responsible for developing and implementing an effective compliance program, managing compliance policies and procedures, conducting risk assessments, and providing guidance to mitigate compliance vulnerabilities. The role also involves overseeing surveillance initiatives, enhancing compliance training, and managing vendor relationships.

The Senior Information Security Policy & Risk Analyst evaluates security control performance, provides recommendations for improvements, and ensures compliance with information security policies. The role involves conducting risk assessments, developing documentation, collaborating with stakeholders, and presenting information security training. This position also requires leadership in audit processes and the implementation of corrective actions.

The Principal Scientist will lead innovative ingredient technology platforms, manage technical development initiatives, conduct experiments, and collaborate with cross-functional teams to support product innovation in Kraft Heinz's global portfolio.

The Senior Catastrophe Analyst at CNA will drive improvements in catastrophe risk management by developing automated processes, designing database systems, maintaining pricing tools, and providing analytics for portfolio exposure. The role involves high-level collaboration with teams across the company and requires expertise in software and data engineering.

The Principal Analytics Architect will lead the Tableau function and develop the analytics data strategy for the Marketing Intelligence Team. Responsibilities include building analytics reporting suites, mentoring junior analysts, collaborating on data needs, and implementing cloud data standards to enhance marketing effectiveness through data-driven insights.

The Applied AI/ML Lead will analyze business problems and develop machine learning and deep learning solutions. Responsibilities include leading AI/ML initiatives, collaborating with teams to define problems, and creating end-to-end ML pipelines. The role requires extensive knowledge of ML models, data science practices, and experience in deploying models in production settings.