Apply quantitative analysis and Python skills as an Entry-Level Quantitative Researcher with Cubist Systematic Strategies in Toronto, full-time. Research predictive models for systematic trading.

Cubist Systematic Strategies, an affiliate of Point72, develops computer-driven strategies across equities, futures, and foreign exchange. This entry-level role focuses on rigorous quantitative research and predictive models. You will receive training across systematic trading, from idea generation through practical trading considerations.

Key Responsibilities:

- Analyze current academic research and market-related findings
- Generate ideas and develop research hypotheses
- Analyze data and test quantitative hypotheses
- Discover alpha and generate trading strategies
- Build analytical tools supporting the shared research framework

Requirements:

- B.S., M.S., or PhD in a quantitative discipline
- Programming experience in Python or comparable languages
- Working knowledge of SQL
- Solid analytical and quantitative skills
- Ability to work independently and collaboratively

Bring predictive modeling, Python, SQL, and quantitative research skills to Cubist Systematic Strategies in Toronto.

📌 Entry-Level Quantitative Researcher Toronto
🏢 Superprof
📍 Toronto