Intermediate Quantitative Analyst

About the role

Research and develop tradable stock-selection signals and alpha models, refine portfolio construction methods, and contribute to the team's research and analytics platforms. Maintain and monitor production models, assess their performance, and collaborate with portfolio managers and fundamental analysts to communicate findings and insights. Requires a bachelor's degree in a relevant field and at least three years of direct quantitative investment research experience, including developing and testing stock-selection signals or alpha models. Candidates should have strong knowledge of equity markets, factor investing, portfolio construction, statistical and econometric methods, and machine learning, along with programming proficiency in Python, R, or similar languages; CFA charterholder or candidate is preferred.