ORIE 5255

ORIE 5255

Course information provided by the 2026-2027 Catalog.

This course provides a rigorous treatment of AI model risk management in financial institutions, combining traditional model governance principles with modern AI system design. Students will study how AI models are developed, evaluated, monitored, and governed in regulated financial environments. Through case studies and hands-on exercises, students will analyze real financial AI systems such as credit models, trading signals, recommendation engines, and LLM-based research assistants. By the end of the course, students will be able to identify, measure, and manage risks in AI-driven financial systems and design governance frameworks suitable for large financial institutions.


Enrollment Priority Enrollment limited to: Financial Engineering M.Eng. students in NYC.

Last 4 Terms Offered 2025FA, 2024FA, 2023FA, 2022FA

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Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits GradeNoAud

  • Topic: AI Model Risk Management

  • 11025 ORIE 5255   LEC 030

    • T
    • Aug 24 - Dec 7, 2026
    • Mehta, D

  • Instruction Mode: In Person

    Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.