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Cubist Systematic Strategies, an affiliate of Point72, seeks an entry-level Quantitative Researcher to conduct rigorous research on predictive models for systematic trading across liquid assets. You will be trained from idea generation to practical trading considerations and aim to become a thought leader in a collaborative research group.
Ideal candidates hold a quantitative degree and are proficient in Python and SQL, with strong analytical skills and the ability to work both independently and
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.
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.