支付风控算法工程师-国际支付
Core
Develop universal fraud risk models for global payment scenarios and apply Seq, Graph, and LLM technologies to enhance risk control systems.
Role type
Senior IC machine-learning engineer (fraud risk)
Builds
Global fraud risk models and feature systems for international payments
Domain
Fintech / Global Payments / Fraud Detection
Deliverable
production ML models
Required skills
Python, Java, Scala, SQL, Hive, Spark, Flink, deep learning, multi-objective learning, online learning, graph mining, NLP
Preferred skills
credit risk control, search and recommendation systems
Technologies
Seq, Graph, LLM, Flink, Spark, Hive
Responsibilities
Develop universal fraud risk models for global payment scenarios; Apply Seq, Graph, and LLM technologies to the risk control domain; Build cross-country and cross-region universal models using deep learning; Optimize modeling processes to improve development and deployment efficiency; Research and apply cutting-edge machine learning algorithms to risk control.
