Investment Data Analyst - Morningstar Direct Specialist

Job Description

Roles & Responsibilities Build and maintain customized screeners using Morningstar Direct (Global) and ACE Equity to support fund managers in identifying investment opportunities across equity and multi-asset strategies. Translate investment themes into structured screener logic based on valuation metrics, sector classification, factor signals, and technical or fundamental filters. Extract and validate financial data from multiple sources to enable quantitative analysis, performance attribution, and comparative benchmarking. Conduct back-testing of screeners and models to evaluate historical consistency, asset behavior across cycles, and strategy alignment. Automate the generation of screener outputs using tools such as Excel, SQL, or Python, ensuring repeatability and efficiency. Collaborate with senior analysts to convert investment discussions into data-driven outputs and research frameworks. Support the preparation of internal investment memos, dashboards, and presentations based on insights derived from screening tools. Maintain rigorous documentation for all screener logic, methodologies, and changes to ensure transparency and version control. Ensure high accuracy and reliability of screener outputs and research data used in portfolio construction and fund positioning. Contribute actively to product ideation and research innovation through timely, structured analytical support. - This role offers direct exposure to live portfolio construction, fund strategy development, and real-world investment research at a SEBI-registered Portfolio Management firm. - Candidates who have previously worked with fund managers, equity analysts, or in a PMS/AMC environment will be preferred. Preferred Candidate Profile Practical, demonstrable experience with Morningstar Direct (Global) and ACE Equity for building customized investment screeners. Strong understanding of Indian equity markets, mutual funds (Domestic & Global), ETFs (Domestic & Global), and multi-asset strategies, with an analytical mindset. Advanced-level Excel skills are mandatory including dynamic formulas, pivot tables, lookups, and data automation techniques. Foundational knowledge of SQL and Python is essential to support screener automation, data cleaning, and process efficiency. Ability to translate investment themes and qualitative discussions into structured screening logic and quantifiable filters. High attention to detail with a strong focus on accuracy, consistency, and data integrity in outputs used for investment decisions. Skilled in organizing, visualizing, and presenting data-driven insights for internal use by fund managers and senior analysts. Clear communicator able to simplify complex ideas and collaborate effectively with cross-functional research teams. Proactive, self-motivated, and eager to learn across new tools, asset classes, and analytical frameworks. Prior internship or experience in a PMS, asset management company, investment research desk, or wealth platform will be an added advantage.