Goldman Sachs is seeking to enhance revenue generation, capital saving, operational efficiency and foster innovation within the firm by leveraging AI-driven quantitative technologies in the Equities Business.
Requirements
- 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.
- A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
- Experience with quantitative analytics, statistics, and artificial intelligence.
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.
Other
- A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
- Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.
- Collaborate proactively with stakeholders across the equities business.
- Work in a dynamic environment that requires innovative strategic thinking and immediate, real solutions.
