ETF Systematic Trader — Quant Strategy Lead

Goldman Sachs; New York (NY); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Discretionary bonus

Competitive compensation

Job summary

Goldman Sachs is seeking a Systematic ETF Trader in New York to develop, test, and execute ETF trading strategies across global markets. The role emphasizes quantitative analysis, backtesting, risk management, and collaboration with researchers and other traders.

The ideal candidate will have 2+ years experience in ETF-focused algorithmic trading and strong skills in Python, C++, Java, SQL, and MATLAB, with a solid foundation in statistics, econometrics, and machine learning.

Qualifications

• Bachelor's degree in a related field.
• 2+ years as a quantitative or systematic trader focusing on ETFs.
• Proficiency in Python, C++, Java, or similar.
• Strong background in statistics, econometrics, or ML techniques.
• Knowledge of ETF market structure, liquidity, and microstructure.

Responsibilities

• Design, develop, and implement ETF trading strategies across global markets.
• Backtest and optimize strategies for robust, risk-adjusted returns.
• Execute trades through automated systems with minimal slippage and costs.
• Monitor and manage market, liquidity, and operational risk within risk guidelines.
• Analyze performance and implement iterative improvements to strategy profitability.
• Collaborate with researchers, data scientists, and other traders to refine strategies.
• Leverage Python, SQL, and MATLAB for data analysis, testing, and integration.

Skills

Python

C++

Java

SQL

MATLAB

Statistics

Econometrics

Machine Learning

Education

Bachelor's degree in Finance, Economics, Engineering, Computer Science, Mathematics, or related field

Tools

Python

C++

SQL

MATLAB

Job description

Goldman Sachs is seeking a Systematic ETF Trader in New York to develop, test, and execute ETF trading strategies across global markets. The role emphasizes quantitative analysis, backtesting, risk management, and collaboration with researchers and other traders.

The ideal candidate will have 2+ years experience in ETF-focused algorithmic trading and strong skills in Python, C++, Java, SQL, and MATLAB, with a solid foundation in statistics, econometrics, and machine learning.