Lead Quantitative Analyst

Morningstar; Navi Mumbai; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

Morningstar's Lead Quantitative Analyst, New Product Development, is a hands-on builder role at the intersection of markets, quant research, data science, and AI. You will turn bold ideas into scalable index solutions and help redefine how investment products are researched, tested, and launched.

The role partners with research, product, technology, operations, and commercial teams to design, test, and launch innovative benchmarks and index methodologies, using Python, R, SQL, and ML tools, with

Qualifications

• 4+ years of experience in indexes, asset management, or related investment tech.
• Strong quant toolkit including factor research, back-testing, and risk analytics.
• Proficient in Python, R, SQL, MATLAB to prototype ideas and automate workflows.
• Excited by AI-first approaches with exposure to Copilot, ChatGPT, or similar.

Responsibilities

• Build and launch new benchmark, thematic, factor, and multi-asset indexes.
• Drive the full product innovation cycle from opportunity to launch-ready.
• Apply quant methods, ML, and risk analytics to create durable index methodologies.
• Leverage AI, agents, and workflows to accelerate research and development.
• Create tools, dashboards, and client-ready stories to communicate complex ideas.

Skills

Quantitative analysis

Python

R

SQL

MATLAB

Machine learning

Data analysis

AI tools (Copilot/ChatGPT)

Communication

Tools

GitHub Copilot

Claude Code

Gemini

ChatGPT

AI agents

RAG workflows

Job description

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.