About the job
Goldman Sachs is seeking an AI Quant Engineer to join our Equities Business. As an AI Quant engineer, you will leverage your expertise in quantitative analytics, statistics, and artificial intelligence to develop and implement AI-driven quantitative technologies with the goal to enhance revenue generation, capital saving, operational efficiency and foster innovation within the firm. In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance. As an AI Quant engineer, you will tackle the unique challenges associated with embedding intelligence in the quant analytics domain. Join us in pushing the boundaries of what is possible at the intersection of quantitative finance 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.
Qualifications
Minimum
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.
Preferred
No preferred qualifications listed.