Quantitative Researcher

Cubist Systematic Strategies is seeking a Quantitative Researcher to work on mid-frequency alpha strategies, performing rigorous and innovative research to discover systematic anomalies in the equities market. The ideal candidate will have a background in quantitative disciplines, proven expertise in Python, and experience with data science practices.

Requirements

• MS or PhD in a quantitative discipline
• 0-2 years of professional work experience
• Proven expertise in Python and handling large datasets
• Fluency in data science practices, e.g., feature engineering
• Highly motivated, curious, and critical thinker
• Collaborative mindset with strong independent research abilities