互联网金融风控算法工程师
Core
Develop and optimize anti-fraud, credit scoring, and user profiling models for internet lending risk control.
Role type
Senior IC machine learning engineer (credit risk)
Builds
Production ML models for lending risk control
Domain
Internet finance / Credit risk
Deliverable
production ML models
Required skills
Python, Java, SQL, Hive, Spark, GBDT, LSTM, statistical learning methods, feature engineering, model deployment, decision engine configuration
Preferred skills
NLP, graph networks, reinforcement learning, deep learning, large-scale fintech/banking data intelligence experience
Responsibilities
Develop and optimize anti-fraud, credit scoring, and user profiling models; Build and maintain ML models across business stages; Drive feature mining from internal and third-party data; Optimize modeling processes to improve efficiency and reduce costs; Research and apply cutting-edge ML algorithms; Collaborate on data model assistance and list generation rules; Configure decision engines to respond to business changes.
