Posted 11 days ago
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**Global Banking & Markets - New York - Associate, Quantitative Engineering** - Develop and deploy AI-based quantitative technologies to drive revenue and innovation within Goldman Sachs - Leverage advanced knowledge in computer science, statistics, AI, and machine learning to tackle unique challenges - Collaborate with diverse teams on projects such as Time Series Forecasting, Market Making, and Pricing - Design, train, and deploy scalable AI models using TensorFlow, PyTorch, scikit-learn, and Keras - Utilize big data technologies and MLOps tools in production environments - Requires a Master's degree (or Bachelor's with experience) in related quantitative field, proficiency in C++, Java, or Python, and one year of AI quantitative role experience **Seniority Level:** Associate **Employment Type:** Full-time **Location:** New York, NY, United States
- Compensation
- $113,000 – $155,600 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Full Job Description
Job Duties: 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. 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. Address the specific challenges that arise when applying these techniques to the financial sector and push 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 with colleagues to advance the production of machine learning systems and applications. Develop, test, and maintain high-quality, production-ready code.
Job Requirements: Masters 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 Bachelors 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 Masters degree) OR three (3) years of experience (with a Bachelors 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.
Salary Range: 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.
