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Quantitative Research Intern at Point72 · New York, NY +1 more | newgrad.ai

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Quantitative Research Intern

Point72Added 7h ago

New York, NY +1 moreInternship

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Quick summaryby 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

JOB RESPONSIBILITIES

Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies

Apply on Point72's site.

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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.