Quantitative Researcher

Cubist Systematic Strategies is seeking a Quantitative Researcher to perform rigorous applied research and present actionable trading ideas. The ideal candidate will have a Bachelor's degree or higher in mathematics, statistics, computer science, or a similar quantitative discipline, and 3+ years of work experience in systematic alpha research in equities using high frequency/intraday data.

Requirements

• Bachelor’s degree or higher in mathematics, statistics, computer science, or similar quantitative discipline
• 3+ years of work experience in systematic alpha research in equities using high frequency/intraday data
• Fluency in data science practices, e.g., feature engineering, signal combining
• Technically comfortable handling large datasets
• Comfortable coding in both C++ and Python in a Linux environment
• Exposure working with cloud computing platforms such as AWS
• Highly motivated and willing to take ownership of his/her work
• Collaborative mindset with strong independent research ability
• Commitment to the highest ethical standards

Benefits

• Opportunity to work with a world-renowned investment firm
• Collaborative and dynamic work environment
• Chance to contribute to the development of innovative trading strategies