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Quantitative Researcher

Point72London
On-site Full-time

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Qualifications

Candidates should possess an MS or PhD in a quantitative field, with 0-2 years of relevant experience. A passion for financial markets is essential, even if prior experience is not required. Proficiency in Python and adeptness in managing large datasets is crucial. Familiarity with data science techniques, particularly feature engineering, and exposure to machine learning concepts will be advantageous. We seek highly motivated individuals who are curious, analytical thinkers, capable of independent research while valuing collaboration. A commitment to ethical standards is imperative.

About the job

Join Cubist Systematic Strategies, a part of Point72, as a Quantitative Researcher. This role focuses on mid-frequency alpha strategies in systematic equity trading. Engage in groundbreaking research to uncover market anomalies and drive innovative trading strategies from conception to implementation. Collaborate with a dynamic team in a fast-paced environment, contributing to the development of scalable research frameworks while honing your skills in data science and quantitative analysis.

About Point72

Cubist Systematic Strategies, an affiliate of Point72, excels in leveraging systematic, computer-driven trading methodologies across diverse liquid asset classes, including equities, futures, and foreign exchange. Our mission centers around meticulous research into various market anomalies, bolstered by our exceptional access to a multitude of publicly available data sources. At Cubist, we foster an innovative environment that empowers professionals to lead in the financial markets by harnessing data and technology.

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