Top Data & Analytics Jobs in Chicago, IL

Senior Equity Analyst responsible for in-depth research on covered companies, financial modeling, report writing, and client interactions. Must have a Bachelor's or Master's degree in Economics, STEM, or related field and relevant experience. Remote work options available.

Conduct second line regulatory compliance monitoring and testing, support regulatory risk assessments, conduct compliance reporting, and utilize GRC software at a FinTech company in Chicago. Collaborate with business units to ensure compliance with consumer lending regulations and assist in enhancing compliance oversight.

The Exchange Connectivity Analyst will be responsible for minimizing friction in real-time interaction with financial markets by employing data-driven methodologies. They will analyze network and exchange protocol captures, research exchange features, automate collection and visualization of metrics, and conduct experiments on trading infrastructure. The role requires proficiency in data analytics, basic understanding of network protocols, and extensive experience with Python.

As a senior machine learning engineer at Tegus, you will build product features powered by machine learning on top of the company's unique datasets. The role will mainly involve working with NLP and large language models to process unstructured text data. You will collaborate with product managers and engineers, stay updated on the latest advances in machine learning, and mentor junior engineers.

As a Principal Business Data Steward, responsible for data governance needs, enforcing data management standards, and supporting data management initiatives throughout the data ecosystem. Partner with business, technology, and data analytics teams to ensure solutions meet business user stories. Manage and escalate risk and customer-impacting issues. Act as a data subject-matter-expert, understanding technical and business contexts of the data.

Prepares financial statements, supports monthly close process, coordinates audits, reviews presentations, stays informed of reporting changes, and ensures compliance with regulations.

Seeking a seasoned People Analytics Insight Partner with strong data analysis skills to drive strategic decision-making through the interpretation of people data. Responsibilities include analyzing data, creating compelling narratives, staying ahead of trends, and collaborating with HR and senior leadership to drive business outcomes.

As a Senior Machine Learning Engineer at Capital One, you will design, build, and deliver ML models to solve business problems, collaborate with cross-functional teams, and ensure high availability and performance of ML applications. Responsibilities include building ML models, deploying ML solutions, and leveraging cloud-based architectures.

Principal Data Risk Associate role at Capital One requiring expertise in SQL, Python, data management, and compliance. Responsibilities include ensuring compliance with data standards, developing key relationships, and monitoring data management efforts. The successful candidate must have strong communication skills, technology fluency, and experience in business analysis and risk management.

The Data Engineer within Grubhub's Growth team will enhance big data infrastructure, refine existing pipelines, develop marketing campaigns, create custom audience segments, and maintain monitoring dashboards. This role requires expertise in SQL, Python, ETL, and data processing.