Quantitative Researcher: Intraday Alpha & Strategy Engineer

Point72; Chicago (IL); On-site; USD 175,000 - 200,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, seeks a highly skilled quantitative researcher to drive systematic alpha ideas in equities. You will handle end-to-end development, from data orchestration to strategy evaluation, and collaborate on tooling to improve efficiency.

The role requires a strong background in statistics, C++ and Python coding, and experience with large datasets in a Linux environment. AWS experience is a plus, with a competitive base salary and benefits.

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 to 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

Large dataset handling

Independent research

C++

Python

Linux environment

Cloud platforms (AWS)

Ethical standards

Education

Bachelor’s degree or higher in mathematics, statistics, computer science, or similar quantitative discipline

Tools

C++

Python

AWS

Linux

Job description

Cubist Systematic Strategies, an affiliate of Point72, seeks a highly skilled quantitative researcher to drive systematic alpha ideas in equities. You will handle end-to-end development, from data orchestration to strategy evaluation, and collaborate on tooling to improve efficiency.

The role requires a strong background in statistics, C++ and Python coding, and experience with large datasets in a Linux environment. AWS experience is a plus, with a competitive base salary and benefits.