Quantitative Analyst • Entry-Level

Who you are

You hold an MS or PhD in a quantitative discipline and have a keen interest in financial markets, even if you lack direct experience in the field. You are a highly motivated and curious individual, eager to explore systematic trading strategies and contribute to innovative research. Your proven expertise in Python allows you to handle large datasets effectively, and you are fluent in data science practices, including feature engineering. You possess a collaborative mindset and strong independent research abilities, ensuring you can thrive in a team-oriented environment while also driving your own projects forward. You are committed to maintaining the highest ethical standards in your work.

What you'll do

As a Quantitative Researcher at Cubist, you will be involved in the end-to-end development of mid-frequency alpha strategies, which includes alpha idea generation, data processing, strategy backtesting, optimization, and production implementation. You will perform rigorous and innovative research to discover systematic anomalies in the equities market, leveraging your analytical skills to identify and evaluate new datasets for stock return prediction. Your contributions will help maintain and improve portfolio trading in a production environment, and you will play a key role in developing the analysis framework for scalable research. This position offers a unique opportunity to be part of a growing team and engage in the early stages of a product launch.

What we offer

At Point72, you will be part of a dynamic team that values innovation and collaboration. We provide a supportive environment where you can grow your skills and advance your career in quantitative research. You will have access to a wide range of publicly available data sources and the opportunity to work on cutting-edge systematic trading strategies. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.