Systematic ETF Trading Leader

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

Job summary

The Goldman Sachs Group seeks a Systematic ETF Trader to develop, test, and execute ETF trading strategies across global markets. The role emphasizes quantitative analysis, strategy development, and experimentation with data-driven models.

Ideal candidates will have 2+ years in quantitative or systematic trading with ETFs, strong programming skills (Python/C++/Java), and a deep understanding of risk and market microstructure to optimize performance and profitability.

Qualifications

• 2+ years as a quantitative trader or systematic trader with ETF focus.
• Proficiency in programming languages such as Python, C++, Java; experience in modelling and backtesting.
• Strong background in statistics, econometrics or machine learning techniques applied to trading.
• Deep understanding of ETF markets, structure, liquidity and market microstructure.

Responsibilities

• Design, develop, and implement algorithmic trading strategies that trade ETFs across global markets.
• Utilize historical and real-time market data to identify inefficiencies and build predictive models.
• Conduct rigorous backtesting to ensure robustness and optimize risk-adjusted returns.
• Manage and execute trades through automated systems with minimal slippage and costs.
• Monitor and manage trading risks, ensuring compliance with risk guidelines and limits.
• Track and analyze strategy performance and implement iterative improvements.
• Collaborate with researchers, data scientists, and other traders to refine strategies.
• Leverage tools for data analysis and strategy execution (e.g., Python, SQL, MATLAB).

Skills

Python

C++

Data analysis

Backtesting

Statistics

Machine learning

Communication

Education

Bachelor's degree in Finance, Economics, Engineering, CS or Math

Tools

MATLAB

SQL

Java

Job description

The Goldman Sachs Group seeks a Systematic ETF Trader to develop, test, and execute ETF trading strategies across global markets. The role emphasizes quantitative analysis, strategy development, and experimentation with data-driven models.

Ideal candidates will have 2+ years in quantitative or systematic trading with ETFs, strong programming skills (Python/C++/Java), and a deep understanding of risk and market microstructure to optimize performance and profitability.