Morningstar’s Chicago office is the company’s headquarters, bringing together teams across research, technology, product, sales, corporate functions, and more. Employees work in a mission-driven culture shaped by independent thinking, openness, and fact-based decision-making, with the energy of a downtown location and opportunities to connect across teams.
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Teams at Morningstar
Morningstar Chicago Team
What's It Like to Work as a Software Engineering at Morningstar in Chicago?
Software engineers at Morningstar build and maintain the applications that power the firm's work, and they do it in a culture built on independent thinking, evidence-based decisions, and continuous learning. Engineers are trusted to bring their own perspective and judgment to how the work gets done. That's not incidental to the culture here; it's central to it.
What's It Like to Work as a Product Manager at Morningstar in Chicago?
Product managers at Morningstar sit at the center of decisions that shape what gets built, and how it works. In Chicago, product managers work across areas including Credit Ratings; Data, Analytics & Research; Indexes; Investment Management & Services; and Corporate. Product managers are trusted to define what problems are worth solving and bring their own judgement to every stage of the process.
Morningstar Research Team in Chicago
Research at Morningstar spans markets, asset classes, and disciplines, all connected by the same purpose: give investors what they need to make confident decisions. Our independent research covers equities, managed investments, fixed income, alternatives, private markets, ESG and climate, and credit ratings. Analysts bring their own judgment to complex questions, and that independence is central to how the work gets done.
Recently posted jobs
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Develop and launch benchmark, thematic, factor, strategic beta, and multi-asset indexes from concept through market release. Conduct quantitative research, machine learning, back-testing, portfolio construction, risk analytics, and statistical testing. Build AI-enabled tools, prototypes, dashboards, and automated workflows while translating complex investment concepts into methodologies, research, presentations, and client-facing narratives. Collaborate with research, product, technology, operations, and commercial teams.
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Create and optimize investing content across social media, newsletters, video, and visual formats. Develop graphics, carousels, charts, scripts, newsletter content, and on-camera videos; translate complex financial topics for individual investors; identify high-potential stories; use audience performance data to improve content; and collaborate with editorial, design, video, research, and corporate social teams while maintaining editorial accuracy and consistency.
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Design and build cloud-native microservices, REST APIs, and highly available backend services supporting large-scale data requests. Translate business requirements into scalable platform solutions, contribute to architecture modernization, and uphold engineering practices including testing, observability, CI/CD, and code reviews. Troubleshoot production issues, improve reliability, and evaluate emerging data engineering and generative AI technologies. Mentor colleagues and collaborate across technical and business teams.
