Quantitative Researcher, Trading Research

Point72; New York (NY); On-site; USD 125,000 - 200,000; Full time

Job summary

Point72 is seeking a Quantitative Researcher in New York to research and develop in-house trading strategies used by traders. The role requires a Master's degree in a quantitative field and at least two years of experience in quantitative research.

The successful candidate will develop predictive models, conduct market microstructure analysis, and collaborate with cross-functional teams. A strong proficiency in Python and C++ is essential, along with a solid understanding of market impact.

The annual base salary is between $125,000 and $200,000, with potential for bonus compensation based on various factors.

Qualifications

• Minimum of 2 years of experience in quantitative research.
• Solid understanding of statistical models for intraday study.
• Commitment to the highest ethical standards.

Responsibilities

• Research and develop in-house trading strategies.
• Conduct quantitative research on market microstructure.
• Develop and maintain predictive models to optimize trade execution.

Skills

Proficiency in programming languages such as Python

Statistical modeling

Understanding of market impact

Knowledge in macro products (FX and bonds)

Education

Master's degree or higher in a quantitative field

Tools

C++

AWS

Job description

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.