Launch your career with Cubist Systematic Strategies as an Entry-Level Quantitative Researcher. Engage in rigorous quantitative research while honing your skills in predictive modeling and systematic trading.

As part of the collaborative team at Cubist, you will learn the full research process and generate ideas that lead to effective trading strategies. This agile role will allow you to explore data analysis, hypothesis testing, and alpha discovery while contributing to a research framework that drives market insights.

Key Responsibilities:
• Analyze latest academic research to inform trading strategies
• Manage idea generation and data analysis processes
• Develop hypotheses and conduct testing for predictive models




• Generate and backtest trading strategies effectively
• Build analytical tools for enhanced research collaboration

Requirements:
• Degree in finance, economics, mathematics, or data science
• Proficient in Python and SQL programming languages
• Strong analytical and quantitative skills required
• Detail-oriented with a focus on quality results
• Ability to work independently and in teams

Elevate your research skills while contributing to trading innovations at Cubist.
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📌 Entry-Level Quantitative Researcher at Cubist (Ontario)
🏢 Leading
📍 Ontario