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AI/ML Engineer, Global Banking & Markets, Investment Banking
Goldman Sachs
New This Week
ML EngineeringBankingMid-Level (3-5 yrs)HybridMajor Bank
Excellent entry point for early-career ML engineers wanting to break into investment banking AI.
AI → FinanceTransition-Friendly
Location
Dallas, TX
Posted
Mar 15, 2026
Build and deploy scalable AI models and agentic workflows for Goldman Sachs' Global Banking & Markets division in Investment Banking.
## About the Role
Goldman Sachs is seeking an AI/ML Engineer to join the IB Engineering team within Global Banking & Markets. You will leverage expertise in quantitative analytics, statistics, and artificial intelligence to develop and implement AI-driven quantitative technologies that enhance revenue generation, capital efficiency, and operational performance.
## Responsibilities
- Design, implement, and deploy scalable AI models and agentic workflows to drive commercial outcomes
- Lead experimentation to enhance model performance and reliability
- Collaborate with cross-functional stakeholders to advance ML systems
- Develop production-ready code and demonstrate technical leadership on cross-team projects
- Maintain production-ready solutions meeting enterprise quality standards
## Requirements
- Advanced degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent
- 1-3 years of AI/ML industry experience
- Proficiency in Python and/or Java with strong software engineering practices
- Knowledge of machine learning algorithms and data science toolkits
- Experience building production ML systems preferred
Skills & Technologies
PythonDeep LearningNLPQuantitative FinanceML PipelinesAgentic AIProduction ML Systems
Best Backgrounds
- ML engineering
- software engineering
- quantitative finance
- applied mathematics
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