Senior Quantitative Analyst
About The Position
Morningstar’s Analytics group develops methodologies, analytics, and insights to help investors make better decisions. The Senior Quantitative Analyst will join the Quantitative Research team and contribute to developing and enhancing the Morningstar Risk analytics platform, applying proprietary methodologies to assess investment risk across stocks, bonds, managed investments, and portfolios. The role analyzes large datasets across asset classes to produce insights for investors. The analyst independently scopes and owns projects from initial framing through production, handles ambiguous judgment calls, serves as an expert in a defined area, and helps improve the quality of work and practice across the team. The role works closely with quantitative analysts, software engineers, Product, and Engineering, and supports model validation and client inquiries. It also includes critically evaluating AI approaches and promoting responsible AI practices.
Requirements
- Bachelor’s degree and 5 years of experience, or master’s degree and 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 products equivalent to that expected of a CFA charter holder.
- Solid command of statistical and econometric methods applied to finance.
- Proficiency in Python and SQL.
- Experience building and maintaining production-quality code and documentation.
- Track record of developing and enhancing methodologies or analytics, with the technical depth to judge whether an approach is sound.
- Ability to explain methodologies and complex concepts clearly to technical peers and non-technical stakeholders.
- Ability to communicate progress, risks, and trade-offs to product teams and stakeholders.
Nice To Haves
- Experience with Amazon Web Services tools such as S3, EMR, or Athena.
Responsibilities
- Develop a strong understanding of Morningstar’s proprietary methodologies and become a subject-matter expert in Morningstar Risk analytical products.
- Work with quantitative analysts and software engineers to develop and implement methodologies that advance the analytical suites.
- Develop subject-matter expertise in multiple investment themes, particularly fixed income, equities, and mutual funds.
- Build a strong understanding of Morningstar data systems and support model validation and client inquiries.
- Own projects end to end, including scoping, data validation, methodology design, testing, documentation, and production handoff; serve as the primary contact for Product and Engineering.
- Review peers’ work for analytical soundness, validity of insights, and whether outputs are intuitive and actionable; provide feedback that improves the work.
- Critically evaluate AI approaches and promote responsible AI practices with established standards.
Benefits
- 100% 401(k) match up to 6% of salary.
- Stock ownership potential.
- Company-provided life insurance equal to 1x salary plus commission.
- Comprehensive medical, dental, and vision benefits, including potential premium discounts and company-provided HSA contributions of up to $500–$2,000 annually for specific plans and coverages.
- Additional medical wellness incentives of up to $300–$600 annually.
- Company-provided long- and short-term disability insurance.
- Trust-based time off.
- Six-week paid sabbatical program.
- Six-week paid family caregiving leave.
- Paid parental leave of 8–24 weeks.
- Adoption assistance.
- Leadership coaching and formal mentorship opportunities.
- Annual flex stipend of $1,000 for personal education and well-being expenses.
- Tuition reimbursement.
- Charitable matching gifts program.
- Dollars for Doers volunteer program.
- Paid volunteering days.
- 15+ employee resource and affinity groups.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
