Associate, Quantitative Engineering with Goldman Sachs Services LLC in New York, New York. Artificial Intelligence (AI) Quantitative role on Applied AI Team. Deploy AI-based quantitative technologies to drive revenue generation and innovation within the firm. Leverage advanced knowledge in computer science, statistics, artificial intelligence, and machine learning to address unique challenges and redefine possibilities at the intersection of Quantitative Finance and AI. Requires: Master's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and one (1) year of experience in job offered or a related role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year of experience (with a Master's degree) OR three (3) years of experience (with a Bachelor's degree) with: Working in an Artificial Intelligence (AI) Quantitative role; C++, Java or Python programming language; data structures, algorithms, and software engineering practices; machine Learning, Deep Learning, Large Language Models, and Time Series Forecasting algorithms; ML libraries and frameworks, including TensorFlow, PyTorch, scikit-learn, and Keras; big Data Technologies and MLOps tools such as Kubeflow or MLflow in production; and Financial markets, market making, or asset pricing. Job Code: Salary Range: Annual base salary for this New York, New York-based position is $150,000. QUALIFIED APPLICANTS: Apply at and click on "Careers." NO PHONE CALLS PLEASE. The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.