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Morningstar brand and metro location increase competition, but specialized quantitative skills reduce applicant density.
Highly finance-specific index and portfolio construction skills limit cross-industry transferability.
Mandatory Python/R, SQL and quantitative domain expertise create moderate shortlisting strictness despite no explicit years.
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Drive full product development lifecycle for Benchmark Indexes including ideation, design, validation, and launch across Equity and Fixed Income asset classes.
Validate, curate, and analyze underlying data sets to inform methodology development for new index products.
Collaborate closely with research and product teams globally to develop thematic and smart beta indexes leveraging Morningstar IP.
Bachelor’s degree in quantitative, engineering, mathematics, or statistics disciplines.
Proficiency in at least one programming language: Python or R.
Experience working with large, complex datasets using databases like Postgres or SQL Server.
Work Experience Required: Not explicitly mentioned in the JD.
Strong analytical skills demonstrated through ownership of complex data validation and index methodology development.
Ability to work collaboratively across global research and product management teams in a hybrid work environment.
Comfortable managing end-to-end product development for financial index products leveraging advanced quantitative techniques.