金融业智能风控实践白皮书_33页_3mb

The report "Financial Industry Intelligent Risk Control Practice White Paper" analyzes the current state, challenges, and future trends in intelligent risk management within the financial sector. It is based on policies such as the "Financial Intelligence Development Action Plan" and the "Outline of Financial Technology Planning (2022-2025)," which emphasize transitioning from human-based risk control to intelligent, tech-driven approaches like AI and big data for combating risks like telecom fraud and credit defaults. The white paper is authored by Beijng National Financial Standardization Research Institute and Tencent Cloud, with contributors from various financial institutions.

Key findings reveal that intelligent risk control is crucial for addressing rising financial risks, including a 15.7% increase in global financial losses due to fraud from 2020 to 2021. Challenges include data sharing limitations, data quality issues, and the sophistication of black market activities. Proposed solutions focus on value-driven data governance, dynamic model iterations, and scenario-specific applications. Case studies from institutions like China Bank, CITIC Bank, and local banks demonstrate successful implementations in areas such as fraud detection and credit risk management, improving efficiency and reducing losses.

Future trends highlight the need for enhanced collaboration among industry stakeholders, industry-wide ecosystem development, and technology empowerment through AI and big data to support sustainable risk control advancements. The report provides actionable insights for policy-makers, financial institutions, and technology partners to enhance financial security and efficiency.