Applied AI Engineer, Global Banking &… at Goldman Sachs · New York

Summary: Goldman Sachs is a leading global investment banking, securities and investment management firm. They are seeking an Applied AI Engineer to leverage expertise in quantitative analytics and artificial intelligence to enhance revenue generation and operational efficiency within the Equities Business. The role involves designing AI models, leading data-driven analysis, and collaborating with various teams to deliver AI-driven solutions. Responsibilities: - Design, implement, and deploy scalable AI models & agentic workflows to drive commercial outcomes - Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases - Collaborate proactively with stakeholders across the equities business to accelerate the delivery of AI driven solutions to drive tangible commercial outcomes - Champion the development, testing, and maintenance of reliable, production-ready software solutions Required Qualifications: - A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience - A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise - Proficiency in contemporary programming languages like Python and/or Java - Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits - Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment Required Skills: AI/ML experience, Machine Learning techniques, Python programming Important Skills: Java programming, Quantitative Finance Nice-to-Have Skills: Curiosity, Collaboration, Ownership Benefits: Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience.