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

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.