Job Description
Key Responsibilities
- Independently complete modeling scheme design, model development, and deployment
 - Utilize various algorithms to develop solutions for marketing anti-cheating, black/gray production gang identification, account security, and user profiling
 - Collaborate closely with business teams to identify cheater behavioral patterns through big data mining
 - Quickly formulate effective countermeasures against fraudulent activities
 - Continuously iterate and optimize risk control strategies
 - Explore cutting-edge algorithm applications in business risk control scenarios, including graph algorithms, unsupervised models, and large models
 
Job Requirements
- Strong background in machine learning and statistical modeling
 - Experience with algorithm development for fraud detection or risk control systems
 - Proficiency in big data mining and pattern recognition
 - Ability to work independently on end-to-end model development
 - Excellent collaboration skills to work with cross-functional teams
 - Knowledge of graph algorithms, unsupervised learning, and large language models
 - Creative problem-solving skills to develop innovative security solutions
 
Preferred Qualifications
- Experience in e-commerce or internet platform security
 - Familiarity with real-time risk control systems
 - Publications or patents in related fields
 - Experience with distributed computing frameworks
 


