Micro-Intern: Research Technology Developer (IAP)

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

Micro-Intern: Research Technology Developer (IAP)

New York

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, 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.

Job Description

The Central Research Technology team, which builds strategic solutions for research and live trading of quantitative strategies across multiple frequencies and products, is seeking a highly talented intern to work with the team in January. This is a unique opportunity to help design and build the next generation of research and quant trading systems for Cubist.

• 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