Top Tech Jobs & Startup Jobs in Chicago, IL

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.

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.

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.

Designs and maintains automated tests for web applications, APIs, backend services, cloud-native systems, and AI-enabled applications. Responsibilities include functional, integration, regression, exploratory, and end-to-end testing; developing reusable automation frameworks; integrating tests into CI/CD pipelines; investigating defects; validating REST APIs and asynchronous workflows; and assessing AI applications for accuracy, reliability, grounding, and workflow effectiveness. The role collaborates with engineering and product teams and supports AWS-based testing and troubleshooting.

Produces and technically operates corporate, executive, hybrid, webinar, and livestreamed events. Responsibilities include event planning, rehearsals, show calling, AV and broadcast system operation, troubleshooting, production documentation, presenter coaching, vendor and crew coordination, live incident management, equipment maintenance, and post-event wrap-up. The role requires onsite support in Chicago, occasional travel, flexible scheduling, and expertise with Microsoft Teams, Zoom, vMix, broadcast systems, networking, audio, video, lighting, and streaming technologies.

Lead product marketing for Morningstar Direct’s reporting solutions, including positioning, messaging, go-to-market launches, sales enablement, competitive intelligence, client adoption, and demand programs. Partner with product, UX, sales, campaign marketing, and client success teams to translate reporting capabilities into customer value. Conduct market research and win-loss analysis, develop sales plays and content, and measure performance through campaign, adoption, revenue, and client outcome metrics.

Analyze sales performance, pipeline health, forecasting, conversion, territories, and revenue drivers. Build dashboards, reports, and scorecards; audit CRM data quality; define sales metrics; and translate complex datasets into actionable recommendations. Partner with sales leadership, Finance, Marketing, and Customer Success on planning, pipeline visibility, quota analysis, segmentation, and productivity improvements.

Leads the Direct Platform architecture function and defines its long-term technology vision. Oversees enterprise architecture standards, cloud and platform strategy, modernization roadmaps, governance, technical debt reduction, scalability, resiliency, and operational excellence. Partners with executive, Product, Engineering, Data, Security, and Infrastructure leaders on strategic investments and emerging technologies. Manages approximately six architects, develops architecture capabilities, and remains hands-on in designing and governing complex platform solutions.

Leads Morningstar’s global data acquisition and operations organization of approximately 700 employees. Oversees investment, reference, and market data collection, enrichment, quality, and delivery while modernizing platforms, workflows, and operating models. Drives automation, AI adoption, governance, regulatory compliance, performance improvement, and technology transformation. Partners with Product, Engineering, Research, Data Strategy, Risk, and Commercial leadership to execute the data acquisition roadmap and build scalable, efficient operations.

Supports CMBS credit ratings for commercial real estate transactions and entities. Responsibilities include analyzing stabilized cash flows, market data, economic indicators, financial statements, and third-party property reports; preparing rating reports and committee materials; participating in rating committees; supporting regulatory disclosures; and communicating with issuers, investors, and intermediaries.