蚂蚁金服蚂蚁国际-国际风险&商户风险运营专员/高级专员-KYC运营

1. 负责阿里国际各业务的商品合规管控工作，如阿里巴巴国际站、速卖通、Lazada等； 2. 通过有效方法论对各种业务场景进行风险评估，制定重点国家全链路知产合规治理解决方案，平衡发展与合规； 3. 设计和建设商品合规风险指标体系，围绕指标体系建设对应的预警指针和运营策略，并沉淀常态化运营方案； 4. 良好的项目管理能力，整合产研资源，协同上下游各职能团队，推动所负责的事项落地，达到预定的业务目标。

1、根据法律法规及合规政策要求，制定并优化物流、电商等业务场景的经济制裁和出口管制风险管理方案。 2、结合业务场景，通过分析业务及风控数据，识别潜在风险点并提出相应的风险管理策略和流程，平衡风险管理与用户体验。 3、进行跨部门协作，推动并保障风控策略及时、有效落地，同时管理风控规则策略全生命周期，确保风险管控结果。 4、构建完善的风险监控体系，持续追踪风险并及时处理风险预警，保障风险管控体系健全、执行到位。

1.负责信用风险模型的开发，包括模型设计、数据准备、模型开发、上线测试以及上线之后的模型监控 2.负责风控模型的数据集市搭建，持续挖掘公司不同业务类型数据在风险评估方面的价值，丰富和完善风控模型的数据集市 3.负责对外部征信数据的有效性和质量进下评估，推动其在模型和策略中的应用 4.负责信贷业务的相关数据分析，为风险模型的策略应用提供决策支持 1. Responsible for the development of credit risk models, including model design, data preparation, model development, online testing, and post-launch model monitoring 2. Responsible for building a data warehouse for risk control models, continuously exploring the value of different types of company business data in risk assessment, enriching and improving the data warehouse of risk control models 3. Responsible for evaluating the effectiveness and quality of external credit reporting data, promoting its application in models and strategies 4. Responsible for related data analysis of credit business, providing decision support for the strategy application of risk models

1. 深入了解信贷产品的产品属性、业务场景、客群特征、风险模式，制定与业务模式匹配的风险管理流程和政策框架 2. 结合银行内外部数据，对体系内外的存量及潜在客户的信用风险和欺诈风险进行评估与计量 3. 负责贷前、贷中、贷后的风控模型、规则、策略等相关风控体系的制定、优化、监控，并和其它风险部门形成联动 4. 基于量化风控能力对不同客群的准入门槛、授信额度、价格及对应还款方式进行差异化，使之实现既定目标最优化 5. 将数据挖掘成果转化成政策优化方案并部署在决策系统，同时负责协调技术、数据和模型团队将风险策略实施上线 6. 跟踪市场、行业、舆情情况，为业务发展和风险管理规划提供数据支持和决策依据，驱动风险管理体系的持续优化 1. Deeply understand the product attributes, business scenarios, customer characteristics, and risk patterns of credit products, and develop risk management processes and policy frameworks that match the business model 2. Evaluate and measure the credit and fraud risks of existing and potential customers within and outside the system using internal and external bank data 3. Be responsible for formulating, optimizing, and monitoring risk control models, rules, strategies, and related risk control systems before, during, and after lending, and coordinate with other risk departments 4. Differentiate access thresholds, credit limits, pricing, and repayment methods for different customer groups based on quantitative risk control capabilities to achieve optimal goals 5. Convert data mining results into policy optimization plans and deploy them in decision-making systems, while coordinating with technical, data, and modeling teams to implement risk strategies online 6. Track market, industry, and public opinion trends to provide data support and decision-making basis for business development and risk management planning, driving continuous optimization of the risk management system