Senior Quantitative Index Architect & AI Innovator

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

Benefits offered by this job

401k match up to 6%

Stock Ownership Potential

Life insurance - 1x salary

Health benefits

Sabbatical leave

Parental leave

Job summary

Morningstar Indexes in Chicago is looking for a seasoned quantitative professional to build and launch innovative indexes. You will drive the product lifecycle from concept to market, applying data-heavy testing, back-testing, and algorithmic design to create durable, rules-based index methodologies.

You will leverage AI-enabled workflows, prototype tools, and dashboards while translating complex concepts into clear client-facing narratives for investment products.

Qualifications

• 6+ years of experience in indexes, asset management, or related investment tech
• Hands-on experience with investment analysis, factor research, portfolio construction, back-testing, or risk analytics
• Comfortable coding and data work in Python, R, SQL, MATLAB or similar tools
• Interest in AI-first workflows and familiarity with AI copilots, agents, or workflow orchestration
• Ability to translate complex quant/AI concepts into methodology docs and client-facing narratives

Responsibilities

• Build and launch new benchmark, thematic, factor, or multi-asset indexes from concept to market
• Drive the full product innovation cycle with data testing, back-testing, and methodology shaping
• Use quant techniques, AI, and risk analytics to turn ideas into durable, rules-based index methods
• Develop tools, prototypes, dashboards, and client-ready narratives to communicate complex ideas

Skills

Quant toolkit

Python

R

SQL

MATLAB

Back-testing

Risk analytics

Portfolio construction

Communication

Tools

Python

R

SQL

MATLAB

Job description

Morningstar Indexes in Chicago is looking for a seasoned quantitative professional to build and launch innovative indexes. You will drive the product lifecycle from concept to market, applying data-heavy testing, back-testing, and algorithmic design to create durable, rules-based index methodologies.

You will leverage AI-enabled workflows, prototype tools, and dashboards while translating complex concepts into clear client-facing narratives for investment products.