Top Tech Jobs & Startup Jobs in Chicago, IL

Manage full-cycle recruiting for technology roles across software engineering, data, cloud, cybersecurity, AI/ML, and product. Partner with technical hiring managers, develop sourcing strategies and market maps, build candidate pipelines, analyze recruiting metrics, guide candidates through interviews and offers, and improve recruiting processes and tools.

Develop and enhance investment risk analytics methodologies across equities, fixed income, mutual funds, and portfolios. Own quantitative projects end to end, including data validation, methodology design, testing, documentation, and production handoff. Partner with quantitative analysts, software engineers, Product, and Engineering; validate models, address client inquiries, review peer work, and evaluate responsible AI approaches. Communicate complex financial and statistical concepts clearly to technical and non-technical stakeholders.

Leads Morningstar’s advisor practice management strategy by consulting with financial advisors, developing growth and productivity frameworks, creating thought leadership, enabling distribution teams, and delivering workshops, webinars, and coaching. The role helps advisors improve client acquisition, segmentation, staffing, succession planning, operational effectiveness, and retention while connecting advisor needs with Morningstar’s broader investment, research, marketing, and product capabilities.

Designs, develops, integrates, tests, deploys, and supports scalable Salesforce solutions for Sales, Finance, Marketing, and Service processes. Leads Apex and Lightning development, Salesforce Agentforce and AI-enabled capabilities, external system integrations, release management, and production stability. Translates stakeholder requirements into secure, maintainable solutions, chooses declarative versus custom development approaches, supports legacy SQL Server applications, reviews code, guides quality assurance and user acceptance testing, and mentors junior developers.

Lead and manage US collections operations and an overseas collections team, own collections OKRs across six business segments, develop and coach direct reports, drive strategies to reduce past-due balances and DSO, monitor collections metrics, resolve escalations, ensure compliance, and lead process improvements in partnership with Finance, Sales, and Customer Success.

Conduct independent quantitative and qualitative research on funds and investment vehicles, develop forward-looking ratings, monitor markets and regulatory developments, interview portfolio managers, and perform due diligence. The role also involves authoring research reports and industry studies, developing asset-class expertise, supporting team initiatives, and communicating ratings and findings to institutional clients and internal investment teams.

Leads surveillance and fundamental credit analysis for highly leveraged middle-market companies. Evaluates financial performance, cash flow, leverage, and credit risks; prepares rating committee materials, recommendations, reports, and research. Communicates credit views to internal and external stakeholders, monitors market developments, manages a portfolio of credits, and supports improvements to analytical workflows and data management.

Conduct financial data analytics, leveraged finance research, and corporate credit analysis for highly leveraged middle-market companies. Responsibilities include sourcing and validating financial data, building Excel, Python, and SQL analytical tools, performing quantitative analysis, creating visualizations, reviewing financial statements, supporting credit surveillance and rating recommendations, preparing committee materials, and engaging with lenders, investors, and bankers.

Owns product operations for Morningstar Indexes, including pricing strategy and governance, roadmap prioritization, business intelligence, AI initiatives, commercial opportunity evaluation, and investment business cases. Partners with Product, Operations, Technology, Legal, Compliance, Finance, and Sales to align delivery with commercial priorities, ensure governance, and support product growth. Presents recommendations and trade-offs to senior stakeholders.

Supports complex, escalated data and data product issues from Level I teams. Researches cases, identifies trends using metadata, determines resolutions, coordinates cross-functional resources, prioritizes tickets, improves workflows, and communicates outcomes to internal stakeholders and clients. The role requires ownership of issue resolution, effective collaboration with Client Service, Product, Sales, and Data Operations, and occasional client meetings.