AI ML Engineer, Global Banking & Markets, Investment Banking
Goldman Sachs
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Market check
How this pay compares to similar roles
This role pays less than 64% of similar roles. Most pay $168,356–$246,150 — the shaded band above. At the midpoint, this role pays about $188k versus about $207k for comparable roles.
Based on 240 similar postings.
Employer
Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.
Goldman Sachs currently has 187 open roles on FindRole.
Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.
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At a glance
As an AI Quant Engineer at Goldman Sachs’s Equities Business, you will join a dynamic team focused on integrating artificial intelligence with quantitative finance to enhance revenue generation and operational efficiency. Your primary responsibilities include designing, implementing, and deploying scalable AI models and workflows to drive commercial outcomes, leading rigorous experimentation to improve model effectiveness, and collaborating closely with stakeholders across the equities business to deliver innovative solutions. You will need a strong background in machine learning techniques, proficiency in Python or Java, and experience with data science toolkits. This role requires a Master’s or Ph.D. degree in fields such as Computer Science, Machine Learning, Quantitative Finance, Mathematics, or Physics, along with 1-3 years of industry experience in AI/ML.
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