GenAI & Agentic Finance AI Intern (Summer)

PassFort; New York (NY); On-site; USD 40,000 - 57,000; Full time

Job summary

Moody's invites creative Master’s or PhD students to join its GenAI and agentic frameworks summer internship in New York. This 10‑week program offers hands‑on experience in financial AI, with mentors and collaboration across data science, engineering, and business teams.

You'll research generative AI agents for credit risk, loan origination, and compliance, prototype frameworks, perform prompt engineering, and contribute to responsible AI practices.

Qualifications

• Enrolled in a master’s or doctoral program in a relevant field.
• Expected graduation between 2027 and 2029.
• Available to work full program period Jun 7–Aug 13, 2027.

Responsibilities

• Support design and evaluation of generative AI agents for financial decision‑making.
• Research and prototype agentic frameworks for financial decision‑making and risk analysis.
• Develop and evaluate AI models for credit risk, loan origination, fraud and regulatory compliance.
• Collaborate with data scientists, financial analysts, and software engineers to integrate agents into workflows.
• Conduct prompt‑engineering and feedback loops to improve reliability and performance.
• Explore multi‑agent coordination for portfolio optimization and stress testing.
• Document findings and present results to stakeholders.

Skills

Generative AI models

Python

PyTorch

TensorFlow

scikit-learn

Critical thinking

Communication

Financial concepts

Responsible AI awareness

Education

Master's or PhD in CS/Data Science/AI/ML/Computational Finance

Graduation 2027–2029

Program dates Jun 7–Aug 13, 2027

Job description

Moody's invites creative Master’s or PhD students to join its GenAI and agentic frameworks summer internship in New York. This 10‑week program offers hands‑on experience in financial AI, with mentors and collaboration across data science, engineering, and business teams.

You'll research generative AI agents for credit risk, loan origination, and compliance, prototype frameworks, perform prompt engineering, and contribute to responsible AI practices.