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Intelligent Risk Control

By deeply integrating intelligent analytics with financial business scenarios, the Intelligent Risk Control solution consolidates internal and external data—such as customer profiles, transaction records, and ecosystem data. Leveraging a combination of traditional statistical models, machine learning, deep learning, and expert-driven rule sets, the platform empowers financial institutions to accurately identify risks, generate dynamic alerts, and make informed decisions with greater efficiency.

Product Introduction

GienTech’s Intelligent Risk Control Solution is built upon proven implementation experience with multiple financial institutions. It integrates big data and AI technologies across the entire credit lifecycle—from pre-lending to post-lending:

Pre-lending: Supports identity verification and credit assessment to enhance decision-making speed and accuracy.

Mid-lending: Enables real-time transaction monitoring, fund flow correlation analysis, and dynamic risk alerts to mitigate emerging threats.

Post-lending: Enhances collection strategies and non-performing asset pricing to improve the timeliness and precision of risk mitigation.

Platform Support

GienTech’s proprietary intelligent analytics platform, AI Model Master, provides robust foundational support for intelligent risk control and other AI-driven financial applications. The platform features a full stack of machine learning and deep learning algorithms and offers comprehensive modeling capabilities—including data preprocessing, visualization, feature engineering, model training, evaluation, and deployment—in a streamlined, end-to-end workflow. By leveraging AutoML and encapsulated expert knowledge, the platform lowers entry barriers and boosts efficiency, while maintaining a strong focus on AI security to enable safe and scalable deployment across diverse use cases.

Case StudiesView More
A Retail Intelligent Risk Control Project for a City Commercial Bank

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