Morningstar

Quantitative Analyst

Morningstar$89K — $131K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in quantitative research or equity analysis
  • Proficient in Python and SQL for data analysis
  • Strong grasp of equity fundamentals and valuation
  • Rigorous approach to testing and validating research
  • Effective communication skills with senior analysts
  • Experience with AI tools for research applications

Responsibilities

  • Conduct comprehensive research tasks from data collection to analysis refinement.
  • Develop analytics using core methodologies under guidance.
  • Deepen understanding of equity analytics to enhance investor insights.
  • Support the validation of models through meticulous checks.
  • Maintain well-documented analysis for collaborative review.
  • Identify data anomalies and consult with senior analysts.
  • Engage in peer reviews and stay open to feedback.
  • Keep updated on the latest research methodologies and AI tools.

Benefits

  • 100% 401k match up to 6%
  • Comprehensive health benefits, including HSA contributions
  • Trust-based time off and paid sabbatical program
  • Paid parental leave and family caregiving leave
  • Annual flex stipend for education and wellness expenses
  • Tuition reimbursement and leadership coaching
  • Charitable matching gifts and paid volunteering days
Full Job Description

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.

About Morningstar

Morningstar, Inc. is a leading provider of independent investment research 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 retirement plan providers and sponsors. Morningstar provides data on approximately 530,000 investment offerings, including stocks, mutual funds, and similar vehicles, along with real-time global market data on more than 18 million equities, indexes, futures, options, commodities, and precious metals, in addition to foreign exchange and Treasury markets. Morningstar also offers investment management services through its investment advisory subsidiaries, with more than $200 billion in assets under advisement and management as of December 31, 2020. The company has operations in 29 countries.
Learn more about Morningstar
Size
10,038 employees
Market Cap
$9 billion
Industry
Net Income
$223.6 million
Founded
1984
5 Year Trend
+16.3%
Revenue
$1.3 billion
NASDAQ

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