Tech Stack

Description

You will develop and implement scalable long/short equity investment strategies using insights from discretionary portfolio managers, with a focus on risk management, portfolio construction, and execution. This involves end-to-end quantitative research from data exploration to presenting results.

Requirements

• Degree (BS/MS/PhD) in finance, CS, math, or quantitative discipline
• Strong analytical skills in quantitative equity investing
• Sound economic intuition for validating investment hypotheses
• Solid regression modeling foundations (linear, ridge, logit)
• Strong Python skills in data manipulation and regression modeling

Responsibilities

• Manage end-to-end quantitative research projects including data cleaning and management
• Test research hypotheses based on economic rationale
• Conduct statistical/regression modeling and simulation analysis
• Present results to the broader group