Anti-Fraud Engineer

Job Responsibilities

• System Architecture: Lead the end-to-end design and iteration of the company-wide risk control and anti-fraud framework. Architect multi-scenario strategies to safeguard data integrity and corporate interests.

• Risk Mitigation: Analyze behavioral signatures of risks such as web crawlers, fraudulent transactions, account abuse, and incentive scalping. Develop and deploy targeted strategies to continuously optimize detection precision and minimize false positive/negative rates.

• Real-time Monitoring & Response: Build real-time risk monitoring systems to identify emerging fraud patterns. Spearhead emergency response efforts for major risk incidents to minimize business losses.

• Cross-functional Collaboration: Partner with R&D, Operations, and other cross-functional teams to implement risk engines and tools. Disseminate expertise to enhance overall risk awareness across the organization.

Job Requirements

• Educational Background: Bachelor’s degree or above in Computer Science, Statistics, Mathematics, or a related field, with 3+ years of professional experience in risk control and anti-fraud.

• Data Proficiency: Strong data analysis skills with proficiency in SQL for data extraction and cleaning. Expert in Python (Pandas, NumPy, Scikit-learn) for advanced feature engineering and model development.

• Rule Engine Expertise: Familiar with the configuration and deployment of risk rule engines (e.g., URule, Drools), with the ability to translate complex business logic into executable technical strategies.

• Adversarial Defense: Well-versed in anti-crawling technologies and adversarial countermeasures, including CDN/WAF, device fingerprinting, and browser fingerprinting; deep understanding of crawler attack vectors and defense mechanisms.

• Machine Learning: Hands-on experience with mainstream risk models (e.g., Logistic Regression, Decision Trees, Random Forest, XGBoost/LightGBM) and a thorough understanding of the full lifecycle: training, evaluation, and online inference.

• Soft Skills: Acute risk insight and logical reasoning. Excellent cross-team collaboration and project management skills, with the ability to resolve complex issues under high-pressure environments.

• Preferred Qualifications: Direct experience in anti-fraud scenarios for online communities or subscription-based services is highly preferred.