Companies Morningstar

Morningstar

Chicago, Illinois, USA

Total Offices: 4

12,700 Total Employees

Year Founded: 1984

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Enterprise Web

Fintech

Financial Services

Empowering Investor Success

At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.

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Morningstar Offices

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Hybrid Workspace

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

Typical time on-site: 3 days a week

HQGlobal Headquarters

New York, New York, USA

Oakland, Maryland, USA

PitchBook US Headquarters

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What the Team is Saying

Being an MDP offers me the flexibility to change to a completely new role, in fact, I just moved into my current role from being a back-end developer on the Data Services team. It also provides me with the added benefit of pursuing side projects."

Raaghavendar, Associate Software Engineer

I would describe Morningstar's culture in two words -- open and inclusive. Our work place and facilities are also reflective of those two.

Saurabh , Senior Software Engineer

I enjoy working with people from many fields.

Anna, Team Lead of Software Engineering

Morningstar has a special culture that stands out. The people really make the company what it is.

Wendell, Head of Sales, Institutional Equity Research

We believe in promoting from within, based on previous impact to the team. Whenever possible, we will stretch our employees to take on expanded roles that aligns with the career progression they are interested in.

Jeff, Head of Technology and Product

Every day is a little different. Our team is focused on POC (Proof of Concepts). My work involves problem-solving, development and software design. I work on the Data collections team, currently most of this involves, on a high level, automating the process currently used to collect data from raw sources through Machine Learning.