Micro-Intern: Research Technology Developer (IAP)

2 нед. назад

СШАTrainee

pythonc++linuxgitcondaci

Internship opportunity to design and build next-generation research and quantitative trading systems in a leading investment firm.

Cubist Systematic Strategies, an affiliate of , 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.

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