Lead Quantitative Analyst, New Product Development

Morningstar Credit Ratings, LLC; Mumbai; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid work environment

Global collaboration

Job summary

Morningstar Indexes seeks a Lead Quantitative Analyst to build and launch next‑gen indexes with AI‑driven techniques. You will work across research, product, technology, and operations to prototype, test, and deploy scalable index solutions.

You will apply advanced quant methods, back-testing, risk analytics, and portfolio construction while embracing AI tools to accelerate research and automate workflows. Hybrid work is offered.

Qualifications

• 4+ years of experience in indexes, asset management, fintech, or related investment technology environment.
• Strong quant toolkit including investment analysis, factor research, portfolio construction, back-testing, risk analytics, or systematic strategy design.
• Proficiency with Python, R, SQL, MATLAB or similar to prototype ideas, analyze large datasets, and automate workflows.
• Interest in AI-first workflows; familiarity with Copilot, ChatGPT or similar platforms is a plus.
• Ability to translate complex quant and AI concepts into methodology documents and client-facing narratives.

Responsibilities

• Build and launch new benchmark, thematic, factor, and multi-asset indexes from concept to market with cross-functional teams.
• Drive the full product innovation cycle: spot opportunities, test signals, run back-tests, shape methodology, and launch-ready products.
• Use quant techniques, machine learning, portfolio construction, and risk analytics to create durable, rules-based index methodologies.
• Push AI agents and workflow automation to speed up research and make development smarter and faster.
• Create tools, prototypes, dashboards, research insights, and client-friendly stories to explain complex ideas.

Skills

Python

R

SQL

MATLAB

Quant research

Back-testing

Risk analytics

AI tools

Tools

Microsoft Copilot

GitHub Copilot

Claude Code

Gemini

ChatGPT

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.

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.

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.

In most of our locations, our hybrid work model is four days in‑office each week.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity Morningstar is a global independent investment research and financial data company. Here, you'll help uncover what’s hidden, simplify what’s complex, and create insights that empower investor success.

Company overview Morningstar Development Program

Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.