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Goldman Sachs Group · New York, United States

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

New York, United States Executive $150,000-$300,000 Executive & Management 

Listed on Goldman Sachs Group’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.
[Apply on Goldman Sachs Group’s careers site →](https://higher.gs.com/roles/175552)

[OpenNash Jobs](https://jobs.opennash.com/) / [Goldman Sachs Group](https://jobs.opennash.com/companies/goldman-sachs-group/) / GBM - Public, ETF Trading, Vice President - New York

## 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.

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Jul 10, 2026
- Last checked: Oct 18, 2026
- Listed for: 100 days
- Location: New York, United States
- Pay: $150,000-$300,000[Apply on Goldman Sachs Group’s careers site →](https://higher.gs.com/roles/175552)

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