Research Technology Developer Intern

AI overview

Contribute to the design and development of cutting-edge research and quantitative trading systems at Cubist, utilizing skills in Python and C++ to solve complex market challenges.

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.

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. This is a unique opportunity to help design and build the next generation of research and quant trading systems for Cubist.

Desirable Candidates

  • 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

Point72 Asset Management, led by Steven Cohen, is a global firm specializing in diverse asset classes and strategies, prioritizing superior returns and ethical standards through innovative talent development and data-driven decision-making.

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