Equity Quant Researcher - NYC

About the role

We're partnered working with a leading quantitative trading team that is looking to add a high potential quantitative researcher to their equities platform. The role will sit at the intersection of fundamental investing and quantitative research, leveraging alternative data, statistical analysis, and machine learning to generate systematic investment insights for the trading team.

Responsibilities

• Research and develop predictive signals for equity markets using fundamental, market, and alternative datasets
• Build statistical and machine learning models to forecast company fundamentals, earnings, and other equity-relevant outcomes
• Design robust research frameworks for feature selection, model validation, backtesting, and out-of-sample testing
• Work closely with investors and researchers to translate quantitative findings into actionable investment insights

Requirements

• Strong quantitative background in statistics, computer science, mathematics, engineering, physics, econometrics, or a related discipline
• Experience conducting empirical research on large, noisy, real-world datasets
• Strong research instincts and the ability to independently formulate, test, and iterate on hypotheses
• Experience with equities, alternative data, systematic investing, or fundamental investment research is highly relevant