Global Banking & Markets - New York - Associate, Quantitative Engineering - 4195191
$113,000–$155,600 year
On-site · New York City, New York, United States
Job Summary
Global Banking & Markets – New York Associate, Quantitative Engineering. AI-driven quantitative role focused on deploying scalable AI models and ML techniques to drive revenue and innovation at Goldman Sachs. Responsibilities include designing, training, deploying production-ready AI models; conducting experiments to improve model performance; collaborating across teams on AI-infused quantitative finance projects (time series forecasting, market making, pricing); and delivering high-quality software alongside production systems. Requires advanced knowledge in computer science, statistics, AI/ML, and experience with ML libraries/frameworks and big data/MLOps; proficiency in C++, Java, or Python; and familiarity with financial markets or asset pricing.
Required Qualifications
- 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.
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