Associate Director of Quantitative Research

The Group: Morningstar's Analytics group turns data into the methodologies, analytics, and insights that help investors make better decisions. We build proprietary intelligence across hundreds of thousands of securities and the portfolios that hold them: equities, fixed income, managed investments, and, increasingly, private and alternative assets. We are applying AI to make that intelligence more accessible and to bring it into investors' research and portfolio workflows. As one of the largest independent sources of fund, equity, and credit data and research in the world, Morningstar is guided by a single mission — empowering investor success. The Role: We are seeking an Associate Director of Quantitative Research to lead our Investment & Time Series team. This team owns a broad and growing set of the calculations that underpin Morningstar's data — fund flows, fees, asset allocation, performance, and more. Together, they form a foundational layer that a huge range of downstream products and research depend on getting right. You will lead a team that operates across two modes: a steady stream of tactical work — client-driven methodology checks, regulatory-driven updates, one-off investigations — and a smaller number of larger initiatives where the team is building deeper, lasting expertise. You will be the team's technical anchor, providing the methodology judgment your team can lean on, and its connective tissue with the many stakeholders — Product, Analytics, Data, and others — whose requests and dependencies flow through this team constantly. This position is based in our Mumbai office. Responsibilities: Own the team's day-to-day tactical work — client-driven methodology checks, regulatory-driven updates, one-off investigations — ensuring requests are triaged, resolved, and communicated back reliably. Operate reliably across multiple concurrent projects, ensuring robust, on-time delivery as request volume grows. Lead a smaller number of larger research initiatives each year, building the team's expertise in the areas it's asked to focus on rather than staying purely reactive. Serve as the team's methodology anchor: since the team skews less senior, you'll be the one making the calls, reviewing logic, and catching errors before they reach production, not just delegating and checking in. Coordinate with Product Management and Data Strategy, Technology, and other stakeholders — including Data Collection, Product teams, and local market experts — translating requests into clear specifications, supporting Product Management's intake-to-production process, and keeping methodologies relevant and well documented. Raise the bar on documentation quality and completeness, with the goal of making the team's methodologies easier for others — including client support — to understand and use without needing to ask the team directly.