Senior Quantitative Research Manager, New Product Development

Posted 23 Minutes Ago
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Mumbai, Maharashtra, IND
Hybrid
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
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The Role
Leads quantitative analysts in developing and launching benchmark, thematic, factor, strategic beta, and multi-asset indexes. Owns the full index lifecycle, including opportunity identification, signal testing, back-testing, methodology design, risk analytics, and launch. Champions AI-enabled research automation, mentors team members, collaborates across research groups, and develops analytical tools, white papers, and client-ready materials.
Summary Generated by Built In

Morningstar Indexes- http://indexes.morningstar.com


Position
: Senior Quantitative Research Manager, New Product Development – Morningstar Indexes
The Area: Morningstar Indexes is building the next generation of index products at the intersection of markets, quantitative research, data science, and AI, creating global equity, bond, private securities and asset allocation indexes that empower investors worldwide.

The Role: As a senior member of the New Product Development team, you will lead and inspire quantitative analysts who turn bold ideas into indexes - from investment thesis and back-testing to launch - while championing AI-first, research-led ways of working and mentoring the team. This position is based in our Mumbai office.


Responsibilities:

  • Lead a team of quant analysts to build and launch benchmark, thematic, factor, strategic beta, and multi-asset indexes from concept to market
  • Own the full index life cycle - spot opportunities, test signals, run back-tests, shape methodology, and launch
  • Apply quant techniques, machine learning, and risk analytics to turn investment ideas into rules-based methodologies
  • Push the use of AI, coding assistants, and agentic workflows to automate research and speed up product development - and coach the team to do the same
  • Nurture a vibrant R&D culture, collaborating with Morningstar’s research teams and building tools, white papers, and client-ready stories that make complex ideas exciting


Requirements: 

  • 8+ years at an index provider, asset manager, investment bank, or fintech/systematic investing firm, with index development and portfolio construction expertise
  • Strong quant toolkit (factor research, back-testing, risk analytics), knowledge of institutional investing and index construction, and coding skills in Python, R, SQL, MATLAB, or similar
  • Excited by AI-first ways of working, with experience using Microsoft Copilot, GitHub Copilot, Claude Code, Gemini, or ChatGPT; AI agents/RAG exposure is a plus
  • Bachelor’s degree in a quantitative or financial discipline, or engineering; CFA, MBA, or graduate degree helpful
  • Experience leading projects or mentoring a research team; clear, engaging communicator; published research is a plus
  • A bonus: ESG data and index design expertise, or familiarity with basket design for Structured Products


Why this role is exciting:
Build, experiment, and scale new ideas with a talented team - using AI and quant research to create products that reach investors worldwide.
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.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Skills Required

  • 8+ years of experience at an index provider, asset manager, investment bank, fintech, or systematic investing firm
  • Experience with index development and portfolio construction
  • Expertise in factor research, back-testing, risk analytics, institutional investing, and index construction
  • Coding skills in Python, R, SQL, MATLAB, or similar
  • Experience using AI coding or productivity tools such as Microsoft Copilot, GitHub Copilot, Claude Code, Gemini, or ChatGPT
  • Bachelor's degree in a quantitative or financial discipline or engineering
  • Experience leading projects or mentoring a research team
  • Clear and engaging communication skills
  • CFA, MBA, or graduate degree
  • Experience with AI agents or retrieval-augmented generation
  • Published research
  • ESG data and index design expertise or familiarity with basket design for structured products

What the Team is Saying

Anna
Upasna
Saurabh
Wendell
Raaghavendar
Jeff
Brandon
Kunal Kapoor
Elizabeth Collins
Marie Trzupek Lynch
Rod Diefendorf
Christine

Morningstar Compensation & Benefits Highlights

  • Retirement Support — Employer 401(k) matching and access to Morningstar retirement‑planning tools are prominent features of the package. These elements create a strong foundation for long‑term savings.
  • Leave & Time Off Breadth — Flexible time off, paid holidays, sick and personal days, and a paid sabbatical every four years provide generous time away from work. Sabbaticals are specifically highlighted as a standout perk.
  • Parental & Family Support — A global minimum of 16 weeks for primary caregivers, up to eight weeks for secondary caregivers, and at least six weeks of paid caregiving leave offer robust family support. Some materials also note adoption assistance and related resources.

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The Company
HQ: Chicago, IL
11,500 Employees
Year Founded: 1984

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

Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.

Typical time on-site: 4 days a week
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