Join Cubist Systematic Strategies as a Quantitative Researcher focusing on statistical and predictive financial models in a dynamic work workplace. This role involves independent research in a team-oriented setting.

Cubist is searching for a Quantitative Researcher to drive statistical model research and analysis. Successful candidates will handle all research phases, including methodology, data collection, and performance monitoring. Applicants should have a passion for finance and curiosity about market behaviors to contribute effectively to the team.

Key Responsibilities:
• Conduct independent quantitative finance research on market anomalies
• Manage methodology selection, data analysis, and backtesting
• Prototype predictive models and monitor performance metrics




• Collaborate with experienced portfolio managers and research team
• Utilize large data sets for comprehensive research insights

Requirements:
• MS or PhD in finance, mathematics, or related field
• 3-7 years experience in quantitative research
• Strong analytical skills and coding proficiency in Python, C++, or R
• Detail-oriented with problem-solving abilities
• Proven experience in handling large data sets

Become a vital part of Cubist's research team, using your quantitative skills to explore and solve financial challenges.
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📌 Quantitative Researcher at Cubist (Ontario)
🏢 Point72
📍 Ontario