Join Cubist Systematic Strategies as a Quantitative Researcher focusing on statistical and predictive financial models in a energetic work environment. 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. #J-18808-Ljbffr

📌 Quantitative Researcher at Cubist (Winnipeg)
🏢 Point72
📍 Winnipeg