Key Implementation Steps for Financial Risk Management on the Ground
Compliant and efficient risk identification is achieved in four stages:
- Scenario Matching Phase::
- Select a large model in the Model Square that is certified for financial compliance (e.g. MiniMax-Finance)
- Recognize interpretable output functions supported by the model (SHAP values/attention heat maps)
- Data preparation phase::
- Structured data such as transaction flows and user profiles are converted to textual descriptive formats after desensitization processing
- Labeling of sample risk events (e.g. 'multiple large transfers in a short period of time' → high-risk labeling)
- Enable AES-256 storage encryption with Security Manager
- Model optimization phase::
- Adjusting the loss function for high false alarm rates (adding FP penalty terms)
- Solving Cold Start Problems with Few-shot Learning
- System interface phase::
- Access to wind control center in the form of API, response latency should be optimized to <300ms.
- Set up a double audit mechanism: big model initial screening + rules engine review
Special Note: Regularly update the test set using the Evaluation Tool to ensure that the model continues to adapt to new fraud patterns.
This answer comes from the articleVolcano Ark: Big Model Training and Cloud Computing Service, Sign Up for $150 Equivalent ArithmeticThe
May not be reproduced without permission:AI productivity tools " How to apply Volcano Ark's modeling capabilities in financial risk control scenarios?
