Trading Quant: Execution & Market Structure Research

Goldman Sachs; New York (NY); On-site; USD 125,000 - 250,000; Full time

Job summary

Goldman Sachs is seeking a Trading Quant to join its systematic trading research team in New York. This role involves empirical research on trading performance, enhancing analytical databases, and developing quantitative tools for optimal trade execution.

The ideal candidate will have an advanced degree in a quantitative field, over 5 years of experience in trading or quantitative research, and strong programming skills in Python. Join Goldman Sachs to impact global trading strategies.

Qualifications

• 5+ years of experience in a quantitative research or trading role.
• Strong understanding of software design principles.
• Ability to communicate complex findings clearly.

Responsibilities

• Conduct empirical research on trading performance and execution strategies.
• Enhance analytical databases for Transaction Cost Analysis.
• Monitor global market developments and automate reporting.

Skills

Python programming

Statistical modeling

Machine learning

Market microstructure knowledge

Trading execution algorithms

Education

Master's or PhD in a quantitative field

Tools

KDB+/Q

Large data analysis tools

Job description

Goldman Sachs is seeking a Trading Quant to join its systematic trading research team in New York. This role involves empirical research on trading performance, enhancing analytical databases, and developing quantitative tools for optimal trade execution.

The ideal candidate will have an advanced degree in a quantitative field, over 5 years of experience in trading or quantitative research, and strong programming skills in Python. Join Goldman Sachs to impact global trading strategies.