GBM, Public, Systematic ETF Trader, Vice President - New York New York · · Vice President

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

Job summary

An established industry player is on the lookout for a talented Systematic ETF Trader to join their dynamic trading team in New York. This role offers the chance to develop and execute cutting-edge algorithmic trading strategies focused on ETFs across global markets. If you have a passion for financial markets and a strong quantitative background, this is an excellent opportunity to leverage your skills in data analysis and modeling. You'll collaborate with a team of experts to refine strategies and enhance performance, all while managing risks effectively. Join a forward-thinking firm committed to providing a competitive employee experience and making a significant impact in the trading landscape.

Qualifications

• 2+ years of experience in quantitative trading or systematic trading.
• Strong programming skills in Python, C++, or Java.

Responsibilities

• Develop and implement algorithmic trading strategies for ETFs.
• Conduct backtesting and optimization of trading strategies.

Skills

Algorithmic Trading

Data Analysis

Quantitative Skills

Problem-Solving

Communication

Education

Bachelor's degree in Finance

Bachelor's degree in Economics

Bachelor's degree in Engineering

Bachelor's degree in Computer Science

Bachelor's degree in Mathematics

Tools

Python

SQL

MATLAB

C++

Java

Job description

GBM, Public, Systematic ETF Trader, Vice President - New York location_on New York, New York, United States

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.

Salary Range:
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.

Benefits:
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.