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

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

Job summary

An established industry player is looking for a talented Systematic ETF Trader to join their innovative trading team. This role offers a unique opportunity to design and implement algorithmic trading strategies that capitalize on market inefficiencies in ETFs. Ideal candidates will have a strong quantitative background, proficiency in programming languages, and a passion for financial markets. Collaborate with experts in data science and trading to refine strategies and enhance performance. If you're ready to make a significant impact in a dynamic environment, this is the perfect role for you.

Qualifications

• 2+ years of experience in quantitative trading or systematic trading.
• Strong background in statistics and machine learning techniques.

Responsibilities

• Develop and implement algorithmic trading strategies for ETFs.
• Analyze market data to identify trading opportunities and inefficiencies.

Skills

Algorithmic Trading

Data Analysis

Risk Management

Statistical Analysis

Communication Skills

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

C++

Java

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.

Salary Range

The expected base salary for this New York, New York, United States-based position is $150000-$300000. 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.