We are currently partnered with the CIO of a multi-billion-dollar hedge fund seeking a Quantitative Researcher to join its fundamental equities platform. The team operates at the intersection of fundamental investing and quantitative research, applying rigorous empirical analysis to improve investment decision-making, portfolio construction, risk management, and alpha generation across global equity markets. This role offers the opportunity to work on intellectually challenging research problems across a broad range of investment topics rather than being confined to a single niche. Researchers have meaningful influence on the research agenda and can contribute across alpha generation, portfolio construction, & risk management within a highly collaborative investment approach.

Responsibilities:

• Research and develop alpha signals & factor models
• Study the drivers of stock returns and market anomalies using large-scale empirical analysis.
• Investigate the economic rationale behind quantitative signals and evaluate their robustness across market environments.
• Conduct performance attribution, factor decomposition, and risk analysis to better understand portfolio outcomes.
• Develop portfolio construction frameworks that balance alpha opportunities with risk, liquidity, turnover, and capacity constraints.
• Design and maintain research tools, analytics, and scalable workflows that support the investment process.
• Collaborate on projects spanning alpha research, factor investing, portfolio construction, risk modeling, and systematic strategy development. Preferred Qualifications
• Advanced degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline.
• 3+ years of experience conducting research within asset management, hedge funds or systematic investment platforms.
• Strong understanding of equity markets, investment processes, and quantitative research techniques.
• Experience working with factor models, equity return forecasting, portfolio optimization/construction, risk models, alpha signal development, and performance and attribution frameworks
• Proficiency in Python is a must
• Ability to communicate quantitative concepts clearly to both technical and non-technical audiences.