Quantitative Researcher — High-Frequency Alpha Signals

Point72; New York (NY); On-site; USD 175,000 - 200,000; Full time

Job summary

Cubist, an affiliate of Point72, is seeking a rigorous researcher to discover systematic anomalies in equities and present actionable trading ideas. You will identify short-term opportunities in the high-frequency/intraday space and participate in end-to-end development from data orchestration to strategy evaluation.

The role emphasizes data-driven research, collaboration, and ownership of projects, with a focus on scalable research tooling and ethical standards within a dynamic, quantitative

Qualifications

• 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.

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

Skills

Data science practices

Independent research

Ownership mindset

Collaborative mindset

Education

Bachelor’s degree or higher in quantitative field

Tools

C++

Python

Linux

AWS

Job description

Cubist, an affiliate of Point72, is seeking a rigorous researcher to discover systematic anomalies in equities and present actionable trading ideas. You will identify short-term opportunities in the high-frequency/intraday space and participate in end-to-end development from data orchestration to strategy evaluation.

The role emphasizes data-driven research, collaboration, and ownership of projects, with a focus on scalable research tooling and ethical standards within a dynamic, quantitative