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
Cubist is seeking a small number of exceptionally talented, highly collaborative research analysts to join our Quant Academy rotational program. You will learn concepts that are fundamentally relevant to and important for a career in quantitative trading. We do not require prior experience in finance, but we do require a passion for excellence.
The Cubist Quant Academy Program will provide you with broad training in the financial industry expertise you need to build a strong foundation and make successful (and meaningful) research contributions. As part of the program, you will rotate across various teams within the firm, spending several months with each team. During these rotations, you will have exposure to systematic trading approaches across multiple asset classes, where you will develop a variety of skills in a more focused research environment. By the end of the rotations, you will have touched the full life cycle of a trade – from market data and research to portfolio construction and execution, and post-trade analysis – which we believe is essential for long-term success in quantitative financial research.
MINIMUM REQUIREMENTS
MS or PhD in finance, computer science, mathematics, physics, engineering, or other quantitative discipline.
Demonstrated ability to conduct independent research utilizing large data sets.
Strong programming skills in at least one of the following: Python, C++, MATLAB, or R.
Strong analytical and quantitative skills.
Detail-oriented.
A clear, concise, and proactive communications style; no fear around asking questions.
A strong track record of taking ownership of one’s work, and of working both independently and within a small team.
Intellectual curiosity and passion.
We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. We would love to hear more about specific engineering or data projects that you’ve worked on outside of school or as part of your curriculum. If you’re proud of the work you did, we want to hear about it.
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