Quantitative Researcher

3 weeks ago


new york city, United States Lawson Chase Full time

One of our Multi-strategy hedge fund clients is seeking a dedicated and motivated professional to join them at their New York office. They are a registered investment advisor managing a multi-billion dollar global portfolio using quantitative techniques.


They develop fully automated investment strategies that leverage statistical arbitrage themes to achieve superior risk-adjusted returns over a multi-year period. By leveraging statistical arbitrage themes, they develop fully automated investment strategies to achieve superior risk-adjusted returns over a multi-year period.


The company maintains and supports over a petabyte of market, historical and derived data for use in research and trading, and their in-house regional operation teams monitor and help strategists implement their strategies on a global scale.


Responsibilities

Your responsibilities could include:

  • Read and synthesize assigned finance research papers.
  • Test research on real datasets and analyze validity of research via alpha generation and backtesting using various modeling methods.
  • Data quality checking and improvement.
  • Creating and editing documentation on research process and results.
  • Interacting across teams to help implement research-tested solutions.
  • Be working with a global team of experienced mentors and analysts.


Requirements

  • Enrolled in an academic program pursuing Bachelors/ Masters/ PhD degree in Computer Science, Mathematics, Engineering, Physics degree, or any other applicable STEM degree.
  • Highly motivated and proactive.
  • Excellent communication skills.
  • Ability to work independently and in a team.
  • Solid background in Statistics.
  • Able to demonstrate problem-solving and coding skills in at least one programming/scripting language.
  • At least some knowledge of current data science techniques.


Nice To Have:

  • Minimal user experience in the Linux environment.
  • Financial markets/data experience.
  • Machine learning experience.
  • Python/Pandas experience.
  • AWS Cloud experience.


Benefits

  • 401(k), 401(k) matching, Dental Insurance, Employee discount, Health insurance, Health savings account, Life insurance, Paid time off
  • Retirement plan
  • Vision insurance


Details

  • Location: New York
  • Salary is competitive


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