Engineering, Applied AI Quant, Associate, Hong Kong/ Singapore

Who We Look For

Goldman Sachs is seeking an AI Quant to join our Applied AI Team. As an AI Quant, you will leverage your expertise in quantitative trading, statistics, and machine learning to develop and implement AI-driven quantitative technologies that enhance revenue generation and foster innovation within the firm.

In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance, such as time series forecasting, market making, and pricing. As an AI Quant, you will tackle the unique challenges associated with machine learning systems in the quant trading domain. Join us in pushing the boundaries of what is possible at the intersection of quantitative finance and artificial intelligence!

Responsibilities

• Design, train, and deploy scalable AI models to drive commercial outcomes.
• Conduct experimentation and analysis to enhance model performance.
• Collaborate effectively with colleagues to advance the production of machine-learning systems and applications.
• Develop, test, and maintain high-quality, production-ready code. 

Required Qualifications

• A Master or Ph.D. degree in Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
• Programming experience in quantitative trading, with buy-side or sell-side experience preferred.
• Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.
• Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.