Position: Lead Quantitative Analyst, New Product Development – Morningstar Indexes
The Area: Morningstar Indexes is building the next generation of index products at the intersection of markets, quant research, data science, and AI. This is a hands-on builder role for someone who wants to move fast, experiment with new tools, turn bold ideas into scalable index solutions, and help redefine how investment products are researched, tested, and launched.
Responsibilities:
Build and launch new benchmark, thematic, factor, strategic beta, and multi-asset indexes from concept to market in partnership with research, product, technology, operations, and commercial teams.
Drive the full product innovation cycle—spot opportunities, explore data, test signals, run back-tests, shape methodology, solve implementation challenges, and get products launch-ready.
Use quant techniques, machine learning, portfolio construction, risk analytics, and statistical testing to turn investment ideas into durable, rules-based index methodologies.
Push the use of AI, coding assistants, and agentic workflows to automate research, speed up analysis, test methodology logic, and make product development smarter and faster.
Bring builder energy to the team by creating tools, prototypes, dashboards, research insights, and client-ready stories that make complex quant and AI ideas easy to understand and exciting to use.
Requirements:
4+ years of experience in indexes, asset management, investment banking, fintech, systematic investing, quantitative research, or a related investment technology environment.
Strong quant toolkit, including hands-on experience with investment analysis, factor research, portfolio construction, back-testing, risk analytics, or systematic strategy design.
Comfortable writing code and working with data using Python, R, SQL, MATLAB, or similar tools to prototype ideas, analyze large datasets, and automate repeatable workflows.
Excited by AI-first ways of working, with experience using tools such as Microsoft Copilot, GitHub Copilot, Claude Code, Gemini, ChatGPT, or similar platforms; exposure to AI agents, RAG, or workflow orchestration is a plus.
Clear communicator who can translate complex quant, AI, and investment concepts into methodology documents, research notes, presentations, and compelling client-facing narratives.
Why this role is exciting: You will join a global indexes team with the freedom to build, experiment, and scale new ideas using AI, quant research, and modern development tools to create products that can reach investors around the world.
Morningstar is an equal opportunity employer.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week, as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal EntitySkills Required
- At least 4 years of experience at an index provider, asset management company or investment bank with demonstrated quantitative investment analysis expertise
- Prior experience leading projects independently or guiding research analysts
- Bachelor's degree in a quantitative, financial discipline, or engineering
- CFA, MBA or graduate degree in a quantitative or financial discipline
- Knowledge of institutional investing, modern portfolio theory and index construction processes
- Hands-on analytical and quantitative skills with practical experience using programming and database packages
- Proficiency in at least one programming language (Python, Matlab or R)
- Exposure to AI tools (Microsoft Copilot, GitHub Copilot, Claude Code, Gemini) to speed data analysis and research
- Ability to work with AI agents to automate simple multi-step tasks and improve workflow efficiency
- Ability to communicate effectively with global clients and internally; excellent oral, written communication and presentation skills
- Experience writing and publishing financial research papers, whitepapers and articles
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — Policies include a paid sabbatical every four years and flexible PTO covering vacation, sick, and personal days, alongside paid volunteer time. Feedback suggests these features create meaningful flexibility and rest opportunities beyond standard leave plans.
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Parental & Family Support — A global minimum of 16 weeks paid parental leave for primary caregivers (up to 8 weeks for secondary) and at least six weeks of paid caregiving leave are publicly stated, with adoption assistance also available. These provisions indicate robust support for families during key life events.
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Retirement Support — U.S. materials document a 401(k) match of $0.75 per $1 up to 7% of pay and no‑cost access to Morningstar retirement tools. This combination strengthens long‑term savings and planning for employees.
Morningstar Insights
What We Do
We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
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