目标:
负责构建并优化公司汽车金融业务全流程的反欺诈风险控制体系,主导欺诈案件调查并实施防范策略,确保资产质量与业务合规性。根据公司业务需要持续优化评分模型及反欺诈规则。
工作职责:
1. 风险控制体系建设
• 设计覆盖贷前审查、贷中预警、贷后监控全周期的反欺诈规则。
• 定期分析欺诈案例,提出针对性的防控建议。
• 设计覆盖贷款前审查、流程预警、贷后监控全周期的反欺诈规则。
2. 案件调查与处置
• 牵头开展重大欺诈案件专项调查,协同销售、运营、法务及催收部门完成证据收集与司法追偿工作。
3. 技术工具的应用
• 推动大数据关联分析(如小额贷款信息)等技术的落地实施
• 管理第三方反欺诈系统(如白行、普道)的接口与规则优化
• 推动大数据关联分析(如小额贷款信息)等技术的落地实施• 管理第三方反欺诈系统(如白航、普道)的接口与规则优化
4. 设计并开发记分卡
• 基于历史数据建立并优化模型
5. 跨部门协作
• 培训销售/审批团队识别高欺诈风险客户特征
职位要求:
• 大学本科及以上学历。
• 至少5年工作经验,银行、AFC或租赁公司背景者优先。
• 具备良好的英语和普通话口头及书面沟通能力。
• 大学本科及以上学历。
• 具备良好的英语和普通话口头及书面沟通能力。
• 独立建模能力。
能力要求:
• 精通Microsoft Office工具,熟练掌握SQL和Python等编程语言
• 注重结果导向,具备良好的沟通能力
• 工作积极主动,诚实守信
Objectives:
Responsible for building and optimizing the company's anti-fraud risk control system for the entire automotive finance business process, leading fraud case investigations and implementing prevention strategies, ensuring asset quality and business compliance.
Job responsibilities:
1. Risk Control System Construction
• Design anti-fraud rules covering the entire cycle of pre-loan review, in-process warning, and post-loan monitoring.
• Regularly analyze fraud cases and propose targeted prevention and control recommendations.
2. Case Investigation and Disposal
• Lead special investigations into major fraud cases and coordinate with sales, operations, legal, and collection departments to complete evidence collection and judicial recovery.
3. Application of Technical Tools
• Promote the implementation of big data correlation analysis (such as small loan info) and other technologies
• Manage the interface and rule optimization of third-party anti-fraud systems (such as BaiHang and PuDao)
4. Design and develop Scorecard
• Model based on historical data
5. Cross-Departmental Collaboration
• Train sales/CA teams to identify high fraud-risk customer characteristics
Job requirements:
• University degree or above.
• At least 5 years of working experience preferably in: Bank, AFC or leasing company.
• Good communication skills in both spoken and written English and Mandarin.
• Independent modeling capability.
Competencies:
• Good knowledge of Microsoft Office tools. Proficient in SQL and Python
• Result oriented personality with good communication skills.
• Dynamic personality with high energy and integrity.