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The Details

DΞΛDLINΞ IN

BΛCK

QUΛNTITΛTIVΞ ЯΞSΞΛЯCHΞЯ – INTΞЯN

 

Experience          Early Career

Location               New York | London | Hong Kong | Paris

Focus                     Systematic Investing

Business               Cubist

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 range is $120000-$180000 (USD) . Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of

ΛPPLY

About Point72 Asset Management

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information,   visit www.Point72.com/working-here.