反欺诈策略-风控
Core
Designing and implementing anti-fraud risk strategies, configuring decision engines, and monitoring risk data to establish early warning systems.
Role type
Senior anti-fraud strategy engineer
Builds
Risk rules and decision engine configurations for business lines
Domain
Financial services / Anti-fraud
Deliverable
production ML models
Required skills
SQL, Hive, Spark, Python, R, feature engineering, risk rule configuration, data mining evaluation
Preferred skills
NLP, graph networks, reinforcement learning, deep learning, fintech experience
Technologies
SQL, Hive, Spark, Python, R
Responsibilities
Implement anti-fraud risk strategies and communicate implementation details; Configure, test, and deploy risk rules in decision engines; Mine and validate features from internal and third-party data; Monitor risk data across business lines and build early warning systems.
