Quantitative Researcher Intern

Job Description:

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.
Role/Responsibilities:
* Independently conduct quantitative finance research with a focus on statistical and predictive models
* Design, backtest, and implement algorithms for optimal portfolio construction
* Evaluate new datasets for alpha potential
* Contribute to the continuous improvement of the investment process and the team's research and trading infrastructure
Requirements:
* MS or PhD student in finance, applied economics, operations research, statistics, mathematics, electrical engineering, or computer science.
* Demonstrated ability to conduct independent research utilizing large data sets.
* Proficient in Python.
* Strong analytical and quantitative skills.
* Detail-oriented.
* Willing to take ownership of his/her work, working both independently and within a small team