Global Banking & Markets, Goldman Sachs Electronic Trading (GSET), Quantitative Execution Analyst, Analyst/ Associate, Hong Kong

Overview

Goldman Sachs Electronic Trading (GSET) is seeking a Quantitative Execution Consultant to join our Equities Execution Solutions & Product team, focusing on Asia Equities markets. This role requires a strong understanding of algorithmic trading, market microstructure, and statistical analysis, with the ability to translate quantitative insights into actionable recommendations for clients and GSET products.

As a member of our team, you will conduct in-depth analysis of client execution performance, utilizing transaction cost models (TCM) and statistical testing methodologies. You will present your findings to clients and collaborate with the GSET Research & Development team to optimize client algorithm/SOR execution quality. Our team consists of experienced client-facing programmers and quants who are passionate about leveraging data-driven insights to enhance client performance. The team sits on the trading floor and has direct relationships with our major clients.

Responsibilities

• Discuss execution performance with clients, traders, sales, and compliance.
• Develop and maintain a deep understanding of client performance benchmarks and implement strategies for continuous improvement.
• Apply transaction cost models and analyze the impact of market microstructure on execution performance.
• Evaluate and leverage various liquidity options to optimize client execution strategies.
• Backtest, calibrate, and optimize existing and new U.S. client trading flows on the proprietary Goldman Sachs trading platform.
• Propose and implement A/B testing methodologies to optimize execution quality.
• Develop and maintain statistical tools for analyzing trading strategy performance.

Basic Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Engineering.
• Minimum 1 year of experience in coding and statistical analyses.
• Strong understanding of parametric and non-parametric statistical tests, including hypothesis testing, regression analysis, and time series analysis.
• Proficiency in data visualization techniques and tools.
• Must be willing to work with proprietary technologies.
• Excellent communication and interpersonal skills.

Preferred Qualifications

• Experience in the financial industry, with knowledge of algorithmic trading, electronic trading mechanics, HFT strategies, and market microstructure.
• Proficiency in statistical techniques; experience with KDB+ is a plus.

About Goldman Sachs

At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We are committed to fostering and advancing diversity and inclusion in our workplace, ensuring every individual has opportunities to grow professionally and personally through training, development programs, firmwide networks, benefits, wellness, and financial offerings.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

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Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.