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


