Quantitative Researcher - Intern
Point72 is a leading global alternative investment firm led by Steven A. Cohen that invests in multiple asset classes and strategies worldwide.
You'll work with large datasets using languages like Python, C++, Java, R, or MATLAB to preprocess data and build predictive models for market dynamics and systematic trading. Point72 is a quantitative investment firm applying advanced statistical learning to market prediction. This internship involves feature engineering and data validation for model estimation across a small team environment.
Free Tailor for ATS: 10/10 runs left
Job Description
This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.
Job Responsibilities
Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
Identify features and relationships useful for the predictive modeling of market dynamics
Desirable Candidates
Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
Strong analytical and quantitative skills
Demonstrated interest in financial markets and systematic trading
Clear, concise, and proactive communicator
Detail-oriented
Willing to take ownership of his/her work, working both independently and within a small team
The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.