Quantitative Developer

Point72; New York (NY); On-site; USD 200,000 - 300,000; Full time

Job summary

Point72 is seeking an experienced software engineer to work on systematic trading strategies. The role involves building and maintaining a trading platform, enhancing automation, and ensuring system stability.

Candidates should have a strong background in Python, software architecture, and quantitative analysis. The position offers a competitive salary range of $200,000-$300,000, along with a comprehensive benefits package.

Qualifications

• Bachelor’s degree or higher in a STEM discipline.
• Advanced proficiency in Python.
• Experience with software architecture best practices.

Responsibilities

• Build components for live trading and simulation.
• Refine and increase automation of the research infrastructure.
• Troubleshoot and resolve system-related issues.

Skills

Advanced proficiency in Python and its ecosystem

Strong quantitative and analytical skills

Proficiency with Linux

Experience with software architecture best practices

Proficiency with C/C++

Education

Bachelor’s degree or higher in computer science or other STEM discipline

Tools

Python libraries (numpy, pandas, scikit-learn)

Linux

Job description

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, 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

• Building components for both live trading and simulation
• Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
• Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards
• Maintaining and updating the platform, ensuring its stability, robustness, and security
• Developing robust data checking and storage procedures
• Troubleshooting and resolving any systems related issues and handling the release of code fixes and enhancements

Requirements

• Bachelor’s degree or higher in computer science or other STEM discipline
• Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
• Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax)
• Proficiency with Linux
• Hands‑on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
• Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful
• Proficiency with C/C++ is a plus
• Experience with designing and implementing trading systems is a plus
• Commitment to the highest ethical standards

The annual base salary range for this role is $200,000-$300,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.