Quantitative Analyst • Mid-Level

Who you are

You have a Bachelor's degree or higher in mathematics, statistics, computer science, or another quantitative discipline. With over 2 years of experience in quantitative research, you possess strong analytical and quantitative skills, along with a solid knowledge of statistics, linear algebra, and machine learning techniques. Proficiency in Python is essential, and familiarity with scientific toolkits such as NumPy and Pandas will set you apart. You are capable of working both independently and collaboratively within a team, and you are committed to the highest ethical standards.

What you'll do

In this role, you will be responsible for various parts of the research pipeline, including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. You will find alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Your responsibilities will also include performing hypotheses testing, feature design, and backtesting to improve on alpha ideas. You will maintain and improve the research pipeline, focusing on alpha generation, portfolio construction, back-testing, and monetization. Additionally, you will work on maintaining and improving portfolio trading in production environments.

What we offer

At Point72, you will be part of a dynamic team that values intellectual curiosity and a passion for deciphering the market. We encourage you to apply even if your experience doesn't match every requirement. You will have the opportunity to work with unparalleled access to a wide range of publicly available data sources, contributing to the development of systematic, computer-driven trading strategies across multiple liquid asset classes.