Hot Detection Lead/Detection Product Owner Anti-Fraud - 反欺诈
Core
Own and drive the design, development, and continuous improvement of real-time detection capabilities for identifying, analysing, and processing behavioural clusters and anomalies across the platform.
Role type
Senior Detection Product Owner (Anti-Fraud)
Builds
Scalable detection capabilities for behavioural clusters and anomalies
Domain
Financial services / Crypto exchange / Fintech / Risk operations
Deliverable
production ML models
Required skills
Real-time detection systems, Fraud/risk analytics, Trade surveillance, AI/ML, Streaming/event-driven data systems, Systems thinking, English, Mandarin Chinese
Preferred skills
Graph-based detection, Knowledge graphs, Fraud network analysis, Market manipulation detection, Exchange-level risk monitoring
Technologies
Kafka, Flink, KDB/q
Responsibilities
Define detection logic, signal scoring frameworks, and dynamic thresholds; Manage daily execution of the Detection Squad; Extract actionable signals from large-scale, high-noise, multi-source data; Design and optimise real-time detection pipelines with low latency; Develop and iterate on anomaly detection models and pattern recognition systems; Translate complex detection requirements into technical specifications; Partner cross-functionally to ensure system alignment; Drive reduction of false positives while maintaining high detection precision.
Seniority
Senior, hands-on IC
