Start your career at Cubist Systematic Strategies as an Entry-Level Quantitative Researcher. Conduct rigorous research and develop predictive models while gaining insights into systematic trading.
In this dynamic role, you will engage with top-tier research, analyzing market anomalies and building trading strategies. Successful candidates will fully participate in the research process and contribute to a collaborative environment. Training will encompass every aspect of systematic trading, fostering growth into a thought leader within the team.
Key Responsibilities:
• Follow and analyze current academic research trends
• Manage idea generation and data analysis processes
• Develop and test hypotheses for alpha discovery
• Generate trading strategies and conduct backtesting
• Build analytical tools for shared research applications
Requirements:
• B.S., M.S. or PhD in a quantitative field
• Proficiency in Python or similar programming languages
• Robust analytical and quantitative mindset
• Detail-oriented with a commitment to quality results
• Ability to work independently and in teams
Embrace a challenging research environment at Cubist to advance your quantitative skills and trading knowledge.
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