Quantitative Researcher

Perform rigorous applied research to discover systematic anomalies in equities markets Present actionable trading ideas and enhance existing strategies Identify short term opportunities in the high frequency/intraday space Participate in end-to-end development (i.e. data orchestration, alpha idea generation, simulation, strategy implementation, and performance evaluation) Contribute towards the team’s research tooling and its efficiency Help establish a collaborative mindset and shared ownership

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

Apply on Point72's site