Quantitative Researcher Intern

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.