Morningstar Inc.
Senior Quantitative Analyst
Chicago, United States of America · Senior
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About the role
- The role will report to the Director of Quantitative Research, Equities, situated within Morningstar Direct's Analytics department.
Responsibilities
- Create detailed specification documents and client-facing white papers Communicate clear and concise project status information to key stakeholders, including the
- Create detailed specification documents and client-facing white papers Communicate clear and concise project status information to key stakeholders, including the Morningstar product teams and clients The
Requirements
- No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
- Read the job requirements carefully and make sure to attach writing or design samples as required.
- Effective time management skills Comfortable taking the initiative and working without detailed guidance or supervision Proactive and positive attitude, and a team player This role does not qualify for immigration sponsorship.
- We will not be considering candidates that require immigration sponsorship now or in the future for this role.
- 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:
- 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.
- 001_MstarInc Morningstar Inc.
- Legal Entity How to Apply for a Job at Morningstar Step 1 When you find a position you're interested in, click the 'Apply' button.
- Please fill out this form completely, attaching your resume and cover letter in the approved format.
Nice to have
- programming proficiency (Python preferred) is expected, but serves the research, not the other way around.
- Bachelor's degree is required
- Finance, Economics, or Accounting strongly preferred
- Computer Science or Statistics considered when paired with demonstrable investment knowledge CFA charter holder or active CFA candidate strongly preferred
- demonstrated commitment to investment excellence is a key differentiator Working proficiency in Python or equivalent quantitative tools
Skills
- Strong analytical and logical reasoning skills.
Compensation
- Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest.
Benefits
- The team's mandate is rooted in equity research excellence: to develop and enhance the rigorous financial methodologies that underpin Morningstar's equity ratings and investment analytics.
- The Responsibilities: Pursue a deep understanding of Morningstar's equity methodologies, analyst workflows, data requirements, and client needs.
- Partner with equity research, equity data, and clients globally to identify areas where we might apply quantitative methods to benefit our analyst teams and customers.
- Independently develop and refine quantitative valuation frameworks, factor models, and screening methodologies that strengthen Morningstar's equity research process and analyst capabilities.
Company info
- to develop and enhance the rigorous financial methodologies that underpin Morningstar's equity ratings and investment analytics.
- Its work is fundamentally finance-first - devising valuation frameworks and factor models, strengthening our equity research process, and building tools that empower our 100+ equity analysts and the institutional clients who rely on their insights.
- To make sure you're a good fit for Morningstar and we're a good fit for you, we'll schedule time for you to meet with multiple staff members at all levels of the company.
Visa & Work Authorization
- We will not be considering candidates that require immigration sponsorship now or in the future for this role.
This listing is sourced directly from Morningstar Inc.'s careers page and normalized into a canonical job model.