Vice President, Public ETF Trading

Goldman Sachs

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$300,000 / yr
Posted
58 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $225k
$131k most similar roles pay here $318k

This role pays more than 76% of similar roles. Most pay $156,000–$225,000 — the shaded band above. At the midpoint, this role pays about $225k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 134 open roles on FindRole.

Listed pay typically runs $137,000–$250,000 across 55 roles with salary data.

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At a glance

TL;DR · Vice President, Public ETF Trading

As a GBM - Public, ETF Trading, Vice President, you will join the dynamic trading team as a Systematic ETF Trader focused on global markets. You will design, develop, and implement algorithmic trading strategies while utilizing historical and real-time market data to identify inefficiencies and create predictive models. Your daily responsibilities include conducting rigorous backtesting for risk-adjusted returns, managing automated trade execution to minimize slippage, and monitoring market, liquidity, and operational risks. To succeed, you must possess expertise in financial modeling, statistics, econometrics, or machine learning techniques to solve complex problems regarding ETF structure and market microstructure. You will utilize technical tools including Python, SQL, MATLAB, C++, and Java to perform data analysis and strategy optimization while collaborating with quantitative researchers and data scientists to refine performance across various asset classes.

What you'll do

  • Design, develop, and implement algorithmic trading strategies for ETFs across global markets.
  • Analyze historical and real-time market data to identify inefficiencies and create predictive models.
  • Conduct rigorous backtesting of trading strategies to ensure robustness and optimize risk-adjusted returns.
  • Execute trades through automated systems while minimizing slippage, transaction costs, and market impact.
  • Monitor and manage market, liquidity, and operational risks according to established guidelines.
  • Track and analyze strategy performance to implement iterative improvements for higher profitability.
  • Utilize programming languages like Python, SQL, or MATLAB for data analysis and strategy development.

What we're looking for

  • Bachelor's degree in Finance, Economics, Engineering, Computer Science, Mathematics, or a related field.
  • 2+ years of experience as a quantitative trader, systematic trader, or similar role with a focus on ETFs and algorithmic trading.
  • Proficiency in programming languages such as Python, C++, Java, or similar.
  • Experience in financial modeling, data analysis, and backtesting.
  • Strong background in statistics, econometrics, or machine learning techniques.
  • Deep understanding of financial markets, specifically ETF structure, liquidity, and market microstructure.
  • Strong analytical and problem-solving skills to adapt to evolving market conditions.
  • Strong verbal and written communication skills for cross-team collaboration and presenting findings.

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