Quantitative Analyst • Entry-Level

Who you are

You are a quantitative researcher with a strong foundation in statistical and predictive modeling. You hold an M.S., Ph.D., or are a Ph.D. candidate in finance, computer science, mathematics, physics, or another quantitative discipline. Your programming skills in C++, C#, Java, or Python enable you to effectively analyze large data sets and conduct independent research. You possess strong analytical and quantitative skills, with a keen interest in metrics-driven decision-making. Detail-oriented and passionate about spotting trends in data, you thrive in both independent and collaborative environments.

Desirable

While prior experience developing or implementing quantitative models for equities is preferred, it is not required. You are willing to take ownership of your work and can perform well under pressure. Your ability to manage all aspects of the research process, including methodology selection, data collection, analysis, testing, prototyping, backtesting, and performance monitoring, sets you apart as a candidate.

What you'll do

As a Quantitative Finance Researcher at Point72, you will independently conduct quantitative financial research, focusing on statistical and predictive models. You will manage the entire research process, from selecting methodologies to collecting and analyzing data. Your role will involve testing and prototyping models, backtesting strategies, and monitoring performance to identify market anomalies. You will collaborate with a small team of researchers, sharing insights and findings to enhance the overall research output. Your contributions will directly impact the systematic, computer-driven trading strategies deployed across multiple liquid asset classes, including equities, futures, and foreign exchange.

What we offer

At Point72, you will be part of a dynamic team that values rigorous research and innovative thinking. We provide training for new researchers without finance backgrounds, ensuring you have the support needed to succeed. You will have access to a wide range of publicly available data sources, allowing you to explore various market anomalies. Our culture encourages ownership and independence, fostering an environment where you can thrive and grow your skills in quantitative finance research.