Quantitative Researcher

Point72

New York, Chicago (Chicago, New York, NY) permanent

Posted: November 17, 2025

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Required Skills

Quantitative Analysis Data Science Feature Engineering Signal Combining C++ Python Cloud Computing AWS Collaboration Research

Job Description

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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