Balancing Automation and Human Judgment in Model Risk

Video

As automation expands in model risk management, human judgment remains essential. Tingting Shi explores the limits of automation, regulatory challenges with vendor models, and the evolving role of AI in validation and governance.

Apr 15, 2025

Tingting She, Head of Model Risk Management, Bank Of China New York Branch

Tags: Model risk

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Tingting Shi shares insights from over 15 years in quantitative finance, emphasizing a risk-based approach to model governance.

While automation supports standard components of model validation, human expertise remains vital - especially with dynamic risk profiles. She highlights the growing reliance on vendor models and the regulatory disconnect with emerging technologies like generative AI.

Going forward, enhanced monitoring and adaptive frameworks are key to responsibly integrating advanced models into risk management strategies.

Tingting She Bio

As a SVP and Head of Model Risk Management in the Bank of China New York Branch, Tingting has 15 years’ extensive experience in risk management and financial analytics, from Big-4 Consulting Firms and International Banks. She has a proven track record in establishing and leading analytical risk management functions e.g. Model Risk Management, AI Risk Management, Stress Testing etc.; Tingting is deeply passionate about leveraging analytical insights to drive organizational growth and enhance resilience in the face of challenges.