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 insightsRequirements:
- 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 setsBecome 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 (Toronto)
🏢 Point72
📍 Toronto