Join Cubist Systematic Strategies as a Quantitative Researcher focusing on statistical and predictive financial models in a dynamic 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
- Robust 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.

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