Senior Quantitative Research Manager, New Product Development

Overview

Lead a team of quantitative analysts in building and launching new index products, from investment thesis and back-testing through to launch, while championing AI-first, research-led ways of working and mentoring the team.

What you'll do

• 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

What you'll need

• 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
• 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
• Bachelor's degree in a quantitative or financial discipline, or engineering
• Experience leading projects or mentoring a research team
• Clear, engaging communicator

Nice to have

• AI agents/RAG exposure
• CFA, MBA, or graduate degree
• Published research
• ESG data and index design expertise, or familiarity with basket design for Structured Products

Details

• Based in the Mumbai office
• Hybrid work model: in most locations, four days in-office each week