# Quantitative Research Intern at Point72

- Company: [Point72](https://point72.com)
- Location: New York, NY +1 more
- Type: Internship · Internship
- Posted: 2024-08-15
- Apply: https://boards.greenhouse.io/point72/jobs/7297667002?gh_jid=7297667002
- Page: https://newgrad.ai/jobs/quantitative-research-intern-037a6002

## Summary by newgrad.ai

What you'll do:

- Transform raw datasets by checking quality, removing errors, standardizing values, and reducing complexity
- Discover patterns and connections relevant to forecasting market behavior
- Implement machine learning approaches for algorithmic trading strategies

What they're looking for:

- Graduate students pursuing advanced degrees in quantitative fields like finance, CS, math, or physics
- Coding proficiency with C++, Java, C#, MATLAB, R, Python, or Perl
- Solid math and analytical abilities plus enthusiasm for financial markets
- Organized, articulate team player capable of independent work

## Posting

### 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

- 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

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.

From Point72's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt