Senior Retirement Quantitative Researcher – Policy & Data

Morningstar; Chicago (IL); On-site; USD 196,000 - 300,000; Full time

Benefits offered by this job

401(k) match

Stock ownership potential

Comprehensive health benefits

Paid sabbatical

Hybrid/onsite culture

Job summary

Morningstar is seeking a Senior Quantitative Researcher, Retirement, to conduct empirical research on workplace retirement plans and participant data. The role focuses on econometric analysis, developing Morningstar white papers, and communicating findings to clients and policy audiences.

On-site in Chicago, reporting to the Center director, with collaboration across Morningstar teams. The ideal candidate has 6+ years of quantitative research in retirement or related fields, with strong

Qualifications

• 6+ years of quantitative research in retirement, economics, or related field.
• BA in economics, finance, public policy, statistics, or related quantitative discipline, or equivalent experience.
• Strong applied econometrics and research-design skills.

Responsibilities

• Lead original research projects from concept through publication.
• Conduct econometric analysis using workplace retirement plan and survey data.
• Translate quantitative findings into clear articles and presentations for stakeholders.
• Present insights to clients, industry groups, and conferences.
• Collaborate across teams to connect research with policy and product applications.

Skills

Econometrics

Statistical analysis

Research design

Written communication

Data interpretation

Independent work

Education

BA in economics/finance/public policy/statistics

Tools

Stata

R

Python

Job description

Morningstar is seeking a Senior Quantitative Researcher, Retirement, to conduct empirical research on workplace retirement plans and participant data. The role focuses on econometric analysis, developing Morningstar white papers, and communicating findings to clients and policy audiences.

On-site in Chicago, reporting to the Center director, with collaboration across Morningstar teams. The ideal candidate has 6+ years of quantitative research in retirement or related fields, with strong