Morningstar Offices

Morningstar is headquartered in Chicago and has 6 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.

Typical time on-site: 4 days a week

U.S. Office Locations

HQ
Chicago

Global Headquarters

22 West Washington Street, Chicago, IL, United States, 60602

Ambler

300 Brookside Ave, Ambler, Pennsylvania, United States, 19002 3436

New York

New York - Broadway

140 Broadway, 43rd Floor, New York, New York, United States, 10005 1108

New York

New York - Park Ave

315 Park Ave S, 14th Floor, New York, New York, United States, 10010 3607

San Francisco

1 Embarcadero Ctr, San Francisco, California, United States, 94111 3698

Seattle

PitchBook US Headquarters

901 Fifth Avenue, Seattle, WA, United States, 98164

Recently posted jobs

2 Days AgoSaved
Hybrid
2 Locations
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.
2 Days AgoSaved
Hybrid
Chicago, IL, USA
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.