Point72
Quantitative Researcher
New York, Chicago
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hirly's read of this role
- Seniority
- Mid level
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 1 Sept 2026
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the posting
ABOUT CUBIST
Cubist Systematic Strategies is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
RESPONSIBILITIES
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
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