About this role
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.