Senior Quantitative Analyst

Posted Yesterday
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Chicago, IL, USA
Hybrid
118K-172K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
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The Role
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.
Summary Generated by Built In

 

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.


We are seeking a Senior Quantitative Analyst to join our Quantitative Research team. This role will contribute to developing and enhancing the Morningstar Risk analytics platform, where we apply proprietary methodologies on analyzing the investment risk of stocks, bonds, managed investments, and portfolios. You will analyze large datasets across different asset classes and produce insights that help investors make better decisions.


You'll work with real independence: scoping and owning a project from framing through production, resolving ambiguous judgment calls. You'll also be sought out for expertise in a defined area and expected to improve the quality of work and practice around you.


Responsibilities:

  • Develop a strong understanding of Morningstar’s proprietary methodologies and become a subject-matter expert of Morningstar’s Risk analytical products.
  • Work closely with other quantitative analysts and software engineers to develop and implement methodologies to advance the analytical suites.
  • Become a subject-matter expert on multiple investment themes, particularly on fixed income, equity, and mutual funds.
  • Develop a strong understanding of Morningstar data systems and provide support on model validation and client inquiry.
  • Own projects end to end, from scoping and data validation through methodology design, testing, documentation, and production handoff, and serve as the primary contact for Product and Engineering.
  • Review peers’ work on substance — whether the analytic is sound, the insight holds, and it will be intuitive and actionable for whoever uses it — with feedback that improve the work.
  • Evaluate AI approaches critically and promote responsible AI practice with real standards attached.

Requirements:

  • A bachelor’s degree with 5 years of experience, or a master’s degree with 3 years of experience in quantitative research, financial data, or a related field, with a track record of owning projects end to end, from framing through production.
  • Strong knowledge of investing and financial markets and products, equivalent to what's expected of a CFA charter holder.
  • Solid command of statistical/econometric methods with application in finance.
  • Proficient in Python, SQL with experience building and maintaining production-quality code and documentation. Experience with Amazon Web Services tools such as S3, EMR, Athena is preferred.
  • A track record of developing and enhancing methodologies or analytics, with the technical depth to make judgement on the soundness of an approach.
  • Able to explain methodologies and complex concepts clearly to diverse audiences, from technical peers to non-technical stakeholders, and to communicate progress, risk, and trade-offs with product team and stakeholders.

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

$117,500.00-172,350.00

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.

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Skills Required

  • Bachelor's degree with 5 years of experience, or master's degree with 3 years of experience, in quantitative research, financial data, or a related field
  • Track record of owning projects end to end from framing through production
  • Strong knowledge of investing, financial markets, and financial products equivalent to CFA charterholder expectations
  • Solid command of statistical and econometric methods applied in finance
  • Proficiency in Python and SQL
  • Experience building and maintaining production-quality code and documentation
  • Track record of developing and enhancing methodologies or analytics
  • Technical depth to judge the soundness of analytical approaches
  • Ability to explain methodologies and complex concepts clearly to technical and non-technical audiences
  • Ability to communicate progress, risks, and trade-offs with product teams and stakeholders
  • Experience with Amazon Web Services tools such as S3, EMR, and Athena

What the Team is Saying

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Morningstar Compensation & Benefits Highlights

  • Parental & Family Support — Paid parental leave provides at least 16 weeks for primary caregivers and up to 8 weeks for secondary caregivers, alongside a global minimum of six weeks of paid caregiving leave. These policies extend family support beyond parental leave alone.
  • Leave & Time Off Breadth — Flexible time off, paid holidays, and a paid sabbatical after every four years of service create meaningful time-away options. Company reporting notes that 1,223 employees took paid sabbaticals in 2025, indicating the program’s active use.
  • Retirement Support — Employer retirement contributions or matching are offered with free access to Morningstar retirement-planning tools. This combination reinforces long-term savings and planning.

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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

Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.

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Hybrid Workspace

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

Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.

Typical time on-site: 4 days a week
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