Role at a glance
- Salary
- $125K – $200K/yr
- Location
- New York, United States New York, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- A minimum of 2 years of experience in quantitative research, building statistical models for intraday study.
- Education
- Master's degree or higher in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or a related discipline.
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Role Summary
The Quantitative Researcher develops in-house trading strategies and conducts research on market microstructure and market anomalies. The role builds predictive models to improve trade execution and reduce transaction costs, working with portfolio managers and researchers on trading-strategy solutions.
What You'll Do
- Research and develop in-house trading strategies for discretionary and quantitative traders.
- Conduct quantitative research on market microstructure to improve trading algorithms and identify market anomalies.
- Develop and maintain predictive models using linear and non-linear techniques to optimize trade execution and minimize transaction costs.
- Collaborate with portfolio managers and researchers to design and implement solutions for trading strategies.
- Monitor and report on changes in market microstructure.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Master's degree or higher in a quantitative field; 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++; commitment to the highest ethical standards.
Preferred
- Experience in AWS is preferred.
- Strong knowledge in macro products, including FX and bonds, is a plus.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Point72
Large Enterprise
Point72 is a global asset management firm that invests across various asset classes, primarily focusing on equity and credit markets. Founded by Steven A. Cohen in 2014, the firm leverages advanced data analytics and extensive research to drive investment decisions and deliver superior returns for its clients. With a commitment to collaboration, innovation, and professional development, Point72 cultivates a dynamic work environment where talented individuals can thrive in the fast-paced financial landscape. The company fosters a culture of integrity and accountability, aiming to contribute positively to the communities it serves.