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AI/ML Engineer, Global Banking & Markets, Investment Banking

Goldman Sachs

Recently Verified
ML EngineeringBankingMid-Level (3-5 yrs)HybridMajor Bank

Excellent entry point for early-career ML engineers wanting to break into investment banking AI.

AI β†’ FinanceTransition-Friendly

Location

Dallas, TX

Posted

Mar 15, 2026

Insider Signals

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πŸ“ŠActive Hiring

Goldman Sachs has had 14 hiring events in the last 30 days β€” they're actively building.

Company AI Context

AI Maturity

leader

Tech Stack

pythonjavainternal-ml-platformagentic-ai-frameworksdistributed-computing

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

Related Titles to Explore

  • ML Engineer - Capital Markets
  • AI Engineer - Banking
  • Quantitative Developer
  • Applied ML Scientist

Career Bridge Playbook

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Career paths into this role

ML engineer
software engineer
applied scientist
quant developer

Where this role leads

Senior AI/ML Engineer
Quant Developer
AI Research Lead
Engineering Manager

Transition Difficulty

low

Key Skill Gaps to Close

  • capital markets domain knowledge
  • financial data concepts
  • Goldman Sachs internal tech stack

Skills used in this role

Technical

pythonjavamachine-learningdeep-learningagentic-aiproduction-mlml-pipelines

Domain

investment-bankingquantitative-analyticscapital-marketsrevenue-optimization

Soft Skills

cross-functional-collaborationtechnical-leadershipexperimentation-mindset

Interested in this role?

Apply directly on the company's career page.

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