Global Banking & Markets - New York - Associate, Quantitative Engineering - 4195191

Job Overview

Associate, Quantitative Engineering with Goldman Sachs Services LLC in New York, New York. This is an Artificial Intelligence (AI) Quantitative role on the 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 challenges at the intersection of quantitative finance and AI. Collaborate with various teams on projects that integrate AI with quantitative finance, such as time series forecasting, market making, and pricing. Address the challenges that arise when applying these techniques to the financial sector and advance the state-of-the-art in AI for quantitative finance. Design, train, and deploy scalable AI models to drive commercial outcomes. Conduct experiments and analysis to enhance model performance. Collaborate effectively to productionize machine learning systems and applications. Develop, test, and maintain high-quality, production-ready code.

Responsibilities

• Design, train, and deploy scalable AI models to drive commercial outcomes.
• Apply AI-based quantitative methods to revenue-generating and innovative initiatives.
• Collaborate with cross-functional teams on projects integrating artificial intelligence with quantitative finance (e.g., time series forecasting, market making, pricing).
• Address challenges unique to applying AI techniques within the financial sector and advance AI for quantitative finance.
• Conduct experiments and analyses to improve model performance.
• Work with colleagues to productionize machine learning systems and applications.
• Develop, test, and maintain high-quality, production-ready code.

Qualifications & Requirements

• Master’s degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field with one (1) year of relevant experience, or Bachelor’s degree (U.S. or foreign equivalent) in these fields with three (3) years of relevant experience.
• With a Master’s degree: at least one (1) year of experience in an AI Quantitative role; with a Bachelor’s degree: at least three (3) years of experience in an AI Quantitative role.
• Experience in an Artificial Intelligence (AI) Quantitative role; programming in C++, Java, or Python.
• Strong knowledge of data structures, algorithms, and software engineering practices.
• Experience with machine learning, deep learning, large language models, and time series forecasting algorithms.
• Proficiency with ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Experience with big data technologies and MLOps tools (e.g., Kubeflow, MLflow) in production environments.
• Understanding of financial markets, market making, or asset pricing.

Salary

Annual base salary for this New York, New York-based position is $113,000 – $155,600.

© The Goldman Sachs Group, Inc., 2026. 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.