Goldman Sachs is seeking Fraud Detection Engineer Interns to build systems preventing financial fraud. Work on machine learning models protecting transactions and client assets.

Responsibilities:

• Develop ML models for fraud detection and prevention

• Build real-time transaction monitoring systems

• Analyze patterns in financial transactions for anomalies

• Collaborate with risk and compliance teams

• Optimize model performance and false positive rates

Requirements:

• Currently pursuing Bachelor's Master's or PhD in CS Data Science or related field

• Strong programming skills in Python Java or Scala

• Experience with machine learning and statistical modeling

• Understanding of financial transactions and fraud patterns

• Graduation date December 2026 through June 2027

Perks:

• Premium compensation for fintech roles

• Work on systems protecting billions in assets

• Exposure to fraud detection at global scale

• Goldman Sachs training and development

• Strong conversion to full-time engineering roles