GBM - Public, ETF Trading, Vice President - New York

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

About the Role:

We are seeking a highly skilled and motivated Systematic ETF Trader to join our dynamic trading team. The ideal candidate will be responsible for developing, testing, and executing systematic trading strategies focused on Exchange-Traded Funds (ETFs) across various asset classes. This is an excellent opportunity for a quantitative professional with a passion for financial markets and algorithmic trading.

Key Responsibilities:

• Strategy Development: Design, develop, and implement algorithmic trading strategies that trade ETFs across global markets.
• Data Analysis & Modeling: Utilize historical and real-time market data to identify inefficiencies and create predictive models that inform trading decisions.
• Backtesting & Optimization: Conduct rigorous backtesting of trading strategies to ensure robustness and optimize for risk-adjusted returns.
• Execution: Manage and execute trades through automated systems, ensuring minimal slippage, transaction costs, and market impact.
• Risk Management: Monitor and manage trading risks, including market risk, liquidity risk, and operational risk, ensuring compliance with risk guidelines and limits.
• Performance Analysis: Track and analyze the performance of strategies, identify areas for improvement, and implement iterative changes to enhance profitability and performance.
• Collaboration: Work closely with quantitative researchers, data scientists, and other traders to refine strategies and improve performance.
• Technology Integration: Leverage advanced tools and platforms for data analysis, strategy development, and execution (e.g., Python, SQL, MATLAB, etc.).

Requirements:

• Education: Bachelor's degree in Finance, Economics, Engineering, Computer Science, Mathematics, or a related field.
• Experience: Proven experience (2+ years) as a quantitative trader, systematic trader, or similar role, with a strong focus on ETFs and algorithmic trading.
• Technical Skills: Proficiency in programming languages such as Python, C++, Java, or similar, along with experience in financial modeling, data analysis, and backtesting.
• Quantitative Skills: Strong background in statistics, econometrics, or machine learning techniques, with the ability to apply them to trading strategies.
• Market Knowledge: Deep understanding of financial markets, especially ETFs, including structure, liquidity, and market microstructure.
• Problem-Solving: Strong analytical and problem-solving skills with a keen ability to think critically and adapt to evolving market conditions.
• Communication: Strong verbal and written communication skills for collaborating across teams and presenting findings to stakeholders.

The expected base salary for this New York, New York, United States-based position is $150,000-$300,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.