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Morningstar

Quantitative Analyst

Posted 35 Minutes Ago
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Hybrid
Chicago, IL, USA
100K-500K Annually
Mid level
Hybrid
Chicago, IL, USA
100K-500K Annually
Mid level
Conduct quantitative equity research using financial statements, holdings, company filings, and varied datasets. Develop valuation, business analysis, classification, narrative, and portfolio analytics; validate models before launch and investigate production issues. Document code and methodologies, review peer work, identify data-quality issues and edge cases, and communicate analytical findings to senior colleagues. The role requires strong equity fundamentals, Python and SQL expertise, rigorous research practices, and familiarity with AI-assisted research and validation.
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The Group:

Morningstar's Analytics group turns data into the methodologies, analytics, and insights that help investors make better decisions. We build proprietary intelligence across hundreds of thousands of securities and the portfolios that hold them: equities, fixed income, managed investments, and, increasingly, private and alternative assets. We are applying AI to make that intelligence more accessible and to bring it into investors' research and portfolio workflows. As one of the largest independent sources of fund, equity, and credit data and research in the world, Morningstar is guided by a single mission — empowering investor success.


The Role:

We are seeking a Quantitative Analyst to join our Equity Analytics team. The team owns and advances Morningstar's proprietary equity research IP — valuation, business analysis, business classification, company narrative, and the portfolio-level aggregation of foundational equity data — built with the analytical depth of fundamental research on every company, public and private.

You will work on well-defined pieces of this research, turning Morningstar's holdings, equity data, and company filings into high-quality, insightful, and actionable analytics, and supporting the ongoing validation of our models in production. You'll work independently on your assigned work while collaborating closely with senior analysts and your manager on trickier judgment calls, priorities, and open questions.


This position is based in our Chicago office. We are in-office 4 days/week.


Responsibilities:

  • Run the full lifecycle of a research task: pulling and exploring the underlying data, assessing its quality and fit for purpose, proposing and testing an approach, and refining it based on what the data and results show.
  • Build analytics across the team's core IP — valuation, business analysis, business classification, company narrative, and portfolio-level aggregations of equity data — under the guidance of senior analysts and your manager.
  • Build real depth in how investors use equity analytics to understand stock exposure within a fund or portfolio, and use that growing expertise to propose new or better ways to surface those insights.
  • Support ongoing model validation — from pre-launch checks on new methodology to investigating and resolving issues that surface in production.
  • Maintain clear, well-documented code and analysis so your work can be reviewed, reused, and handed off without confusion.
  • Flag edge cases, data issues, or methodology questions to senior analysts rather than resolving ambiguous judgment calls alone.
  • Contribute to peer review of other analysts' work, and stay open to close review of your own.
  • Stay current on the team's methodologies and tools, including AI-assisted approaches used in research and validation.

Requirements:

  • Strong foundation in equity fundamentals — financial statement analysis, valuation, and business drivers — combined with a quantitative mindset and genuine interest in how investors use company-level data to make decisions.
  • Strong Python and SQL skills, comfortable working independently with large, varied datasets.
  • A rigorous, skeptical approach to research — testing assumptions, questioning first results, and validating findings before treating them as done — across the full arc of a task, from exploring raw data through to a tested, working analysis.
  • Comfortable with ambiguity in the data itself (gaps, inconsistencies, edge cases) even where the task and its goals are well defined.
  • Clear written and verbal communication, able to explain your analysis and reasoning to senior colleagues.
  • Familiarity with using AI tools to support research, coding, or validation work.
  • 2–5 years of experience in quantitative research, equity analysis, or a related field.

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health 

    • Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-term disability insurance

  • Emotional Health 

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & Formal Mentorship Opportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health 

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Total Cash Compensation Range

$89,625.00-131,441.66

Inclusive of annual base salary and target incentive

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

001_MstarInc Morningstar Inc. Legal Entity
HQ

Morningstar Chicago, Illinois, USA Office

Morningstar Global Headquarters Office

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

Morningstar’s Chicago office is the company’s headquarters, bringing together teams across research, technology, product, sales, corporate functions, and more. Employees work in a mission-driven culture shaped by independent thinking, openness, and fact-based decision-making, with the energy of a downtown location and opportunities to connect across teams.

Software Engineering

Software engineers at Morningstar build and maintain the applications that power the firm's work, and they do it in a culture built on independent thinking, evidence-based decisions, and continuous learning. Engineers are trusted to bring their own perspective and judgment to how the work gets done. That's not incidental to the culture here; it's central to it.

Product Manager

Product managers at Morningstar sit at the center of decisions that shape what gets built, and how it works. In Chicago, product managers work across areas including Credit Ratings; Data, Analytics & Research; Indexes; Investment Management & Services; and Corporate. Product managers are trusted to define what problems are worth solving and bring their own judgement to every stage of the process.

Research

Research at Morningstar spans markets, asset classes, and disciplines, all connected by the same purpose: give investors what they need to make confident decisions. Our independent research covers equities, managed investments, fixed income, alternatives, private markets, ESG and climate, and credit ratings. Analysts bring their own judgment to complex questions, and that independence is central to how the work gets done.

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