Quantitative Analyst

Posted 25 Minutes Ago
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Chicago, IL, USA
Hybrid
100K-500K Annually
Mid level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
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The Role
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.
Summary Generated by Built In

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

Skills Required

  • Strong foundation in equity fundamentals, including financial statement analysis, valuation, and business drivers
  • Quantitative mindset and genuine interest in how investors use company-level data
  • Strong Python skills
  • Strong SQL skills
  • Ability to work independently with large, varied datasets
  • Rigorous, skeptical approach to research, including testing assumptions and validating findings
  • Comfort with data ambiguity, gaps, inconsistencies, and edge cases
  • Clear written and verbal communication skills
  • Familiarity with AI tools for research, coding, or validation
  • 2-5 years of experience in quantitative research, equity analysis, or a related field

What the Team is Saying

Anna
Upasna
Saurabh
Wendell
Raaghavendar
Jeff
Brandon
Kunal Kapoor
Elizabeth Collins
Marie Trzupek Lynch
Rod Diefendorf
Christine

Morningstar Compensation & Benefits Highlights

  • Leave & Time Off Breadth Policies include a paid sabbatical every four years and flexible PTO covering vacation, sick, and personal days, alongside paid volunteer time. Feedback suggests these features create meaningful flexibility and rest opportunities beyond standard leave plans.
  • Parental & Family Support A global minimum of 16 weeks paid parental leave for primary caregivers (up to 8 weeks for secondary) and at least six weeks of paid caregiving leave are publicly stated, with adoption assistance also available. These provisions indicate robust support for families during key life events.
  • Retirement Support U.S. materials document a 401(k) match of $0.75 per $1 up to 7% of pay and no‑cost access to Morningstar retirement tools. This combination strengthens long‑term savings and planning for employees.

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The Company
HQ: Chicago, IL
11,500 Employees
Year Founded: 1984

What We Do

We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.

Why Work With Us

Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!

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Hybrid Workspace

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

Typical time on-site: 4 days a week
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