Lead Quantitative Index Architect

Morningstar; Chicago (IL); On-site; USD 148,000 - 226,000; Full time

Benefits offered by this job

Hybrid work environment

Wellness programs

Job summary

Morningstar Indexes invites a principal quantitative analyst to build and scale next-generation index products in a fast-moving, AI-enabled environment. You will turn bold ideas into durable, rules-based index methodologies while collaborating with research, product, technology, and operations teams.

Based in Chicago, you will lead design, testing, and launch efforts for benchmark and thematic indexes, using advanced quant techniques and AI-enhanced workflows to deliver compelling client-ready

Qualifications

• 6+ years in indexes, asset management, or related investment tech.
• Strong toolkit: back-testing, risk analytics, or systematic strategies.
• Proficient in Python, R, SQL, or MATLAB; able to prototype at scale.

Responsibilities

• Build and launch new benchmark, thematic, factor, and multi-asset indexes from concept to market in partnership with cross-functional teams.
• Drive the full product innovation cycle—spot opportunities, explore data, test signals, back-test, and launch-ready products.
• Use quant techniques, ML, portfolio construction, risk analytics, and testing to turn ideas into durable methodologies.
• Push AI-first workflows to automate research and speed up analysis and product development.
• Create tools, prototypes, dashboards, research insights, and client-ready narratives for complex ideas.

Skills

Python

R

SQL

MATLAB

Machine Learning

AI Tools

Communication

Portfolio Construction

Risk Analytics

Factor Investing

Job description

Morningstar Indexes invites a principal quantitative analyst to build and scale next-generation index products in a fast-moving, AI-enabled environment. You will turn bold ideas into durable, rules-based index methodologies while collaborating with research, product, technology, and operations teams.

Based in Chicago, you will lead design, testing, and launch efforts for benchmark and thematic indexes, using advanced quant techniques and AI-enhanced workflows to deliver compelling client-ready