Quantitative Analyst • Intern

Who you are

You are an undergraduate, MS, or PhD candidate in finance, computer science, mathematics, physics, or another quantitative discipline. You possess strong analytical and quantitative skills, demonstrating a keen interest in financial markets and systematic trading. Your programming skills in languages such as C++, Java, C#, MATLAB, R, Python, or Perl are well-developed, allowing you to tackle complex data challenges effectively. You are detail-oriented and proactive, taking ownership of your work while being able to collaborate within a small team. Your communication skills are clear and concise, enabling you to convey complex ideas effectively.

What you'll do

In this role, you will pre-process very large data sets for model estimation and event studies, ensuring that the data is validated, cleaned, normalized, and reduced in dimension. You will identify features and relationships that are useful for predictive modeling of market dynamics, contributing to the development of systematic trading strategies. You will work closely with experienced researchers and analysts, gaining insights into the financial markets while applying your technical skills to real-world problems. Your contributions will help shape the predictive models that drive trading decisions, and you will have the opportunity to learn from industry experts in a collaborative environment.

What we offer

Point72 offers a competitive annual base salary of $120,000-$180,000 (USD), prorated based on the internship start and end date. You will gain invaluable experience in a leading investment firm, working alongside talented professionals in a supportive and dynamic environment. This internship provides a unique opportunity to apply your academic knowledge in a practical setting, enhancing your skills and preparing you for a successful career in quantitative finance. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.