Quantitative Analyst • Intern

Who you are

You are a Bachelor’s, Master’s, or PhD candidate in computer science or a related quantitative discipline, with a solid foundation in machine learning and statistics. Your proficiency in Python and general software engineering principles, including version control and testing, sets you apart. You have a keen interest in finance and trading, and you are eager to apply your skills in a practical setting. Your collaborative mindset and great attitude make you a valuable team member.

You possess some experience with modern NLP techniques and tools, particularly in deep learning frameworks like PyTorch and Hugging Face. Familiarity with the data science stack is preferred, as is prior research experience. You are curious about financial markets and are motivated to explore how NLP can enhance trading strategies.

What you'll do

As a Quantitative Research Intern, you will join a dedicated NLP quant team at Point72, where you will be involved in developing and launching end-to-end signals. Your responsibilities will include using NLP to construct features from varied datasets and formulating research hypotheses to derive alpha. You will also build and test the performance of trading signals based on NLP and financial features, contributing to the production launch of identified signals.

You will collaborate closely with team members to ensure that the signals you develop are robust and effective. This role offers you the opportunity to apply your academic knowledge in a real-world context, gaining valuable insights into the intersection of machine learning and finance. You will be part of a culture that values ethical standards and encourages continuous learning and growth.

What we offer

At Point72, you will be part of a leading global alternative investment firm that values innovation and talent. You will have the chance to work alongside some of the brightest minds in the industry, contributing to projects that have a significant impact on financial markets. We foster an environment that supports your professional development and encourages you to explore your interests in finance and technology. This internship provides a unique opportunity to gain hands-on experience in quantitative research and NLP applications in finance.