风险数据挖掘-CQC
Core
Build risk monitoring systems and optimize strategies using machine learning and large models to detect anomalies and mitigate business risks.
Role type
Risk Data Mining Engineer (ML & Large Models)
Builds
Risk monitoring systems, optimized risk control strategies, and risk analysis reports.
Domain
Fintech / Risk Management / Data Science
Deliverable
production ML models
Required skills
SQL, Hive, Python, Machine Learning, Large Language Models (LLMs), K-Means, Logistic Regression (LR), XGBoost, Graph Neural Networks (GNN), Prompt Engineering, RAG, SFT
Preferred skills
Experience in platform governance, safety, or risk control; Experience building risk control systems and driving strategy implementation.
Responsibilities
Monitor and analyze business safety and experience data for anomalies; Optimize strategies using data analysis and ML capabilities; Perform qualitative and quantitative analysis on identified risks and provide mitigation recommendations.
