Morningstar, Inc. is a premier provider of independent investment insights, offering data, research, and management services to diverse market participants across global capital markets.
Chicago, IL
Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual investors, financial advisors, asset managers and owners, retirement plan providers and sponsors, institutional investors in the debt and private capital markets, and alliances and redistributors. Morningstar provides data and research insights on a wide range of investment offerings, including managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. Morningstar also offers investment management services through its investment advisory subsidiaries, with approximately $369 billion in AUMA as of Sept. 30, 2025. The Company operates through wholly-owned subsidiaries in 32 countries.
Hybrid · Toronto
Design, build, and scale core services for the AI Accelerator team, including the MCP Server and AI Agent. Manage features end-to-end while collaborating with product and design teams to deliver robust, production-ready AI solutions.
Hybrid · Toronto
Lead the technical direction for data feed platforms and guide the migration of legacy products to a unified, cloud-native architecture. Collaborate with engineering teams to design scalable data delivery mechanisms and define best practices for data governance and performance optimization.
Hybrid · Toronto
The role involves building and maintaining applied AI systems, including data pipelines, LLM integrations, and agentic workflows to ensure reliable production performance. You will also design evaluation harnesses, manage structured content, and mentor engineers on AI-driven development practices.
Hybrid · Toronto
The role involves building and maintaining applied AI systems, including data pipelines, LLM integrations, and agentic workflows to bring AI capabilities into production. You will also design evaluation harnesses and ensure the reliability and governance of AI-driven data extraction and classification processes.
Hybrid · Toronto
You will build and maintain Python-based data pipelines on AWS to ensure scalable and reliable file-based feed generation. Additionally, you will contribute to web interface development for monitoring and migrate legacy products to cloud-native architectures.
Hybrid · Toronto
The Senior Software Engineer will develop and maintain JavaScript web applications and component libraries, as well as implement and maintain Node.js-based APIs. They will collaborate with product, design, and QA partners to deliver features and ensure code quality through best practices.
Hybrid · Toronto
Design and manage analytics platforms to track AI spend governance, IT service delivery performance, and knowledge worker productivity. Build scalable data architectures integrating tools like Snowflake and Microsoft Fabric to provide executive-level insights on AI strategy and IT operations.
Hybrid · Toronto
Architect and implement Python-based data pipelines and file delivery systems on AWS to provide scalable data feeds to clients. Develop web interfaces for monitoring and configuration while migrating legacy products to cloud-native architectures.
Hybrid · Toronto
Develop and maintain full-stack web applications for corporate marketing using Vue.js, Nuxt 3, and Node.js. Build reusable components, integrate headless CMS and AI-enabled workflows, and optimize for performance and accessibility.
Hybrid · Toronto
Lead the technical direction and architecture for the migration of file-based products to a unified, cloud-native data platform. Define best practices for data governance, reliability, and performance while mentoring engineering teams.