Job Description
This role involves developing and deploying advanced modeling solutions to address various business challenges in risk control and security. The ideal candidate will work on innovative algorithms to combat fraud, identify malicious activities, and enhance account security.
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