Lead Quantitative Analyst, New Product Development

Overview

Build and launch new index products (benchmark, thematic, factor, strategic beta and multi-asset) from concept to market within Morningstar Indexes, using quant research, data science and AI.

What you'll do

• 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.
• Create tools, prototypes, dashboards, research insights, and client-ready stories that make complex quant and AI ideas easy to understand.

What you'll need

• 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.
• Clear communicator who can translate complex quant, AI, and investment concepts into methodology documents, research notes, presentations, and compelling client-facing narratives.

Nice to have

• Exposure to AI agents, RAG, or workflow orchestration.

Details

• Location: Mumbai.
• Hybrid work model: four days in-office each week in most locations.