目標(biāo):
負(fù)責(zé)構(gòu)建并優(yōu)化公司汽車金融業(yè)務(wù)全流程的反欺詐風(fēng)險(xiǎn)控制體系,主導(dǎo)欺詐案件調(diào)查并實(shí)施防范策略,確保資產(chǎn)質(zhì)量與業(yè)務(wù)合規(guī)性。根據(jù)公司業(yè)務(wù)需要持續(xù)優(yōu)化評分模型及反欺詐規(guī)則。
工作職責(zé):
1. 風(fēng)險(xiǎn)控制體系建設(shè)
? 設(shè)計(jì)覆蓋貸前審查、貸中預(yù)警、貸后監(jiān)控全周期的反欺詐規(guī)則。
? 定期分析欺詐案例,提出針對性的防控建議。
? 設(shè)計(jì)覆蓋貸款前審查、流程預(yù)警、貸后監(jiān)控全周期的反欺詐規(guī)則。
2. 案件調(diào)查與處置
? 牽頭開展重大欺詐案件專項(xiàng)調(diào)查,協(xié)同銷售、運(yùn)營、法務(wù)及催收部門完成證據(jù)收集與司法追償工作。
3. 技術(shù)工具的應(yīng)用
? 推動(dòng)大數(shù)據(jù)關(guān)聯(lián)分析(如小額貸款信息)等技術(shù)的落地實(shí)施
? 管理第三方反欺詐系統(tǒng)(如白行、普道)的接口與規(guī)則優(yōu)化
? 推動(dòng)大數(shù)據(jù)關(guān)聯(lián)分析(如小額貸款信息)等技術(shù)的落地實(shí)施? 管理第三方反欺詐系統(tǒng)(如白航、普道)的接口與規(guī)則優(yōu)化
4. 設(shè)計(jì)并開發(fā)記分卡
? 基于歷史數(shù)據(jù)建立并優(yōu)化模型
5. 跨部門協(xié)作
? 培訓(xùn)銷售/審批團(tuán)隊(duì)識(shí)別高欺詐風(fēng)險(xiǎn)客戶特征
職位要求:
? 大學(xué)本科及以上學(xué)歷。
? 至少5年工作經(jīng)驗(yàn),銀行、AFC或租賃公司背景者優(yōu)先。
? 具備良好的英語和普通話口頭及書面溝通能力。
? 大學(xué)本科及以上學(xué)歷。
? 具備良好的英語和普通話口頭及書面溝通能力。
? 獨(dú)立建模能力。
能力要求:
? 精通Microsoft Office工具,熟練掌握SQL和Python等編程語言
? 注重結(jié)果導(dǎo)向,具備良好的溝通能力
? 工作積極主動(dòng),誠實(shí)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.