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.