Job Title: Associate, Quantitative Engineering with Goldman Sachs Services LLC in New York, New York
Job Duties:
Artificial Intelligence (AI) Quantitative role on the Applied AI Team.Deploy AI-based quantitative technologies to drive revenue and innovation within the firm.Leverage expertise in computer science, statistics, AI, and machine learning to solve challenges at the intersection of Quantitative Finance and AI.Collaborate on projects integrating AI with quantitative finance, such as Time Series Forecasting, Market Making, and Pricing.Design, train, and deploy scalable AI models to achieve business outcomes.Conduct experiments and analysis to improve model performance.Work with colleagues to develop machine learning systems and applications.Develop, test, and maintain production-quality code.Job Requirements:
Master's degree in Computer Science, Financial Engineering, Applied Mathematics, or related field with 1 year of relevant experience, OR Bachelor's degree with 3 years of relevant experience.Experience in AI Quantitative roles, programming in C++, Java, or Python, and familiarity with data structures, algorithms, and software engineering.Knowledge of machine learning, deep learning, LLMs, and Time Series Forecasting algorithms.Experience with ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, Keras.Experience with big Data Technologies and MLOps tools like Kubeflow or MLflow.Understanding of financial markets, market making, or asset pricing.Additional Information:
Salary Range: $150,000 annually.
We offer extensive health, wellness, retirement, and family care benefits, including medical, dental, disability insurance, paid vacation, financial education, health services, fitness programs, on-site childcare, and more.
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