Quantitative Researcher, Trading Research

New York , United States

AI overview

Research and develop trading strategies while utilizing quantitative methods to enhance algorithm performance and trade execution.

Role/Responsibilities

  • Research and develop in-house trading strategies, used by both discretionary and quantitative traders.
  • Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies.
  • Develop and maintain predictive models to optimize trade execution and minimize transaction costs, utilizing both linear and non-linear techniques.
  • Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies.
  • Stay current and report on changes in market microstructure.

Requirements

  • Master's degree or higher in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or a related discipline.
  • A minimum of 2 years of experience in quantitative research, building statistical models for intraday study.
  • Solid understanding of market impact.
  • Proficiency in programming languages such as Python and C++. Experience in AWS is preferred.
  • Strong knowledge in macro products, including FX and bonds, is a plus.
  • Commitment to the highest ethical standards. 

The annual base salary range is $125,000-200,000 (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 offer.

 

Point72 Asset Management, led by Steven Cohen, is a global firm specializing in diverse asset classes and strategies, prioritizing superior returns and ethical standards through innovative talent development and data-driven decision-making.

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Salary
$125,000 – $200,000 per year
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