腾讯安全-流量风控高级策略算法工程师
Core
Designing and iterating multi-layer traffic risk control strategy systems for registration, anti-fraud, anti-scraping, and account theft scenarios to balance interception rates and false positives.
Role type
Senior IC traffic risk control strategy algorithm engineer
Builds
Production strategy systems, rule engines, and risk scoring models for Tencent's C-end high-traffic platforms and multi-tenant clients.
Domain
Internet security, anti-fraud, and traffic risk management
Deliverable
production ML models
Required skills
Strategy system design, threshold optimization, rule extraction, machine learning, SQL, Python, big data processing (Hive/Spark/Flink), clustering, association mining, A/B testing, shadow mode analysis
Preferred skills
Large model/Agent application in strategy generation, adversarial operation, rapid response to black market tactics
Responsibilities
Design and iterate black/white list, frequency control, and device/IP profiling strategies; Convert expert experience into quantifiable models and auto-tuning parameters; Track black market tactics and deploy hour-level countermeasures; Perform offline data analysis to identify new attack patterns and gang structures; Productize multi-tenant strategy packages for new clients; Establish metrics for recall, false positive rate, and coverage; Collaborate with algorithm teams on feature engineering and model decision chains
Seniority
Senior, hands-on IC
