Quant Research Tech Intern (IAP) - Build Trading Systems

Linuxconfig; New York (NY); On-site; USD 34,000 - 55,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, seeks a Micro-Intern in New York to design and build research and quant trading tools. Candidates should have strong Python/C++ skills and an interest in open-source data science tools.

The role focuses on contributing to research infrastructure, collaborating with the Central Research Technology team, and preparing robust, scalable research systems for live trading environments.

Qualifications

• Undergraduate or graduate candidates in computer science or engineering.
• Significant experience in Python and/or C++.
• Interest in open source research tools for data science and machine learning.
• Basic knowledge of linux, git, conda, and CI processes.
• Knowledge of cloud, databases and distributed or streaming compute is a plus.
• Reasonable quantitative and statistical skills.
• Experience with Finance preferred.
• Clear, concise, and proactive communicator.
• Detail oriented and quick learner in a fast-paced environment.
• Team player with strong pride of ownership.
• Commitment to the highest ethical standards.

Skills

Python

C++

Open source tools

Linux basics

Git

Conda

CI processes

Cloud

Databases

Distributed/Streaming compute

Quantitative skills

Finance knowledge

Communication

Ownership

Ethics

Education

Undergraduate/Graduate in CS or Engineering

Tools

Git

Conda

CI tools

Cloud platforms

Job description

Cubist Systematic Strategies, an affiliate of Point72, seeks a Micro-Intern in New York to design and build research and quant trading tools. Candidates should have strong Python/C++ skills and an interest in open-source data science tools.

The role focuses on contributing to research infrastructure, collaborating with the Central Research Technology team, and preparing robust, scalable research systems for live trading environments.