Quantitative Researcher - Alpha Research

Experience from 4 to 9 Years

Job Title: Quantitative Researcher – Systematic Equities

Location: Pune, India

We are a premier global investment management firm dedicated to delivering high-quality research and diversified investment solutions to institutional clients, retail investors, and private wealth clients across major markets worldwide. With a global presence spanning over 25 countries and thousands of employees, our mission is to be the world's most trusted investment manager. We foster an inclusive, intellectually curious culture where top quantitative talent can thrive, leverage cutting-edge technologies, and build impactful careers.

Join our Systematic Equities team within Multi-Asset and Hedge Fund Solutions. We leverage deep domain expertise in equities, an extensive global data catalog, and advanced technologies to achieve superior investment outcomes. Our team takes a systematic, data-driven approach to analyzing global markets, risk premiums, and alpha sources.

• Alpha Research: Collaborate directly with Portfolio Managers to lead the end-to-end process of alpha research—including data collection, empirical analysis, strategy implementation, back-testing, and model ensembling for systematic equity strategies.

• Portfolio Optimization: Conduct in-depth research on portfolio construction, transaction cost modeling (TCA), and risk models to continuously enhance investment strategies.

• Infrastructure Management: Maintain and enhance existing production and research infrastructure, ensuring optimal system performance, speed, and execution accuracy.

• Investment Process Support: Partner with Portfolio Managers in daily investment activities, including monitoring portfolio risk exposures, performance attribution, evaluating post-trade transaction costs, and preparing insights for senior leadership and global clients.

• Experience: A minimum of 2 years of quantitative research experience focusing on equity strategies, gained on either the buy-side or sell-side.

• Education: Bachelor’s degree in Quantitative Finance, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline.

• Analytical Skills: Strong intuition for empirical financial research, backed by exceptional analytical, statistical, and quantitative modeling skills.

• Technical Proficiency: High proficiency in Python and SQL, with hands-on experience handling large financial datasets and applying statistical/numerical methods. Familiarity with alternative data sources is a strong plus.

• Organizational Skills: Highly organized with keen attention to detail, capable of effective multitasking and prioritizing in a fast-paced environment.