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Quantitative Researcher, Trading Research

Point72 路 New York

Extracted from the posting

Base
Not stated
Remote
On-site
Stack
Python

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.

Technologies

Python
Point72
Point72

Job details

TypeFull-time
Work ModeOn-site
LevelSenior
Location馃嚭馃嚫New York, NY
PostedAug 15, 2026
Apply Now

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