快手支付风控策略算法-【电商安全】

1、负责快手电商业务金融风控，构建风险指标、完善风险画像和对抗策略体系， 降低线上风险水位； 2、深入理解支付业务，了解业务风险； 通过数据分析和算法设计，科学制定策略，推动落地实施，完善策略监控体系，保证策略准确性和健壮性； 3、参与产品流程设计讨论，审核评估产品风险，保障支付业务快速健康发展。

高级/资深算法工程师（国际支付风控方向），base上海/南京 1.支付风险识别与防控 ●负责跨境电商业务中支付风险的全面识别与防控，重点治理欺诈（盗卡、盗账户 友好欺诈）等方面风险，确保支付全链路安全可靠。 ●利用数据分析和机器学习技术，精确识别支付风险，建立有效的风控模型体系。 2.风控模型全链路管理 ●主导支付风控模型的全链路开发与上线工作，包括需求调研、风险探索、方案设计、模型开发、系统集成、部署上线、效果评估、持续优化和监控预警。 ●与产品、工程、业务团队紧密合作，确保风控模型精准全面覆盖业务场景，并能够及时应对市场变化。 3.前沿技术应用与创新 ●深入探索全球各大市场的新型支付作弊行为，利用多模态大数据进行风险评估与预测。 ●应用异常检测、集成学习、强化学习、序列模型、图模型、大规模预训练模型等前沿技术，提升风险识别的准确率和召回率。

负责搭建和优化 SHEIN 平台账号风控策略与算法模型，包括但不限于账号安全、反作弊、欺诈检测、团伙挖掘等领域；利用机器学习、深度学习及相关数据分析技术，对用户行为和交易数据进行实时监控与分析，识别可疑行为和潜在风险；与业务、产品和风控团队紧密合作，定义并完善风控指标体系，持续跟进风险案例并制定对应策略；设计并实现高效、稳定的风控数据处理流程，包括数据清洗、特征工程、模型训练及线上预测部署；持续跟踪电商行业风险趋势及新技术发展，及时更新和升级风控算法与策略，提升整体防控能力。

Team and Role Introduction The Assortment, Content & Ads Governance Team (ACAG team) is part of the Lazada’s Risk and Security. It is charged with the mission of developing a comprehensive strategy for Lazada regarding assortment and content to foster a healthy and safe e-commerce environment for our eCommerce ecosystem. 商品分类、内容及广告治理团队（ACAG团队）隶属于Lazada风险与安全部门，其核心使命是为Lazada制定全面的商品分类与内容治理战略，以维护电商生态系统的健康与安全环境。 The role is responsible for the development and execution of strategic initiatives aimed at ensuring our platform's stipulated policies, particularly in assortment compliance and governance, brand governance, are not abused by platform users. You will have access to analytical tools to develop and implement strategies and solutions using data-driven methodologies to reduce inefficient traffic and money allocation by governing assortments with traffic scams, quality issues, regulatory compliance issues, and brand Intellectual Property (IP) rights infringement. 该职位负责制定与执行战略举措，确保平台政策（尤其是商品合规治理、品牌治理相关规则）不被用户滥用。您将利用数据分析工具，通过数据驱动方法开发策略与解决方案，治理涉及流量欺诈、商品质量问题、合规风险及品牌知识产权侵权的商品分类问题，从而减少低效流量与资金分配。 Responsibilities Develop a deep understanding of the eCommerce customer and seller journey, including registration and onboarding, product listing, order placement, payment, user interactions, returns and refunds, user reports and feedback, etc. Develop subject matter expertise on eCommerce platform operation and governance, where rules, strategies, and enforcements are effectively established to ensure users are compliant with platform policies. Lead cross-functional efforts to enhance platform policies and operational mechanisms, fostering a collaborative environment to support ongoing strategy refinement. Work with large data sets to analyze patterns, trends, and modus operandi of platform operation and governance issues (as well as merchants who perpetrate these issues). Make data-driven recommendations on prioritization of controls for platform governance and product compliance. Collaborate with PD, Tech, and Algo counterparts to build machine learning models and rules to detect assortment and user related operation and governance issues on the platform. Operate the risk engine, including the creation and continuous evaluation of rules to prevent and detect platform operation and governance issues. Capture and communicate findings with internal and external stakeholders through dashboards, periodic reports, and presentations. 岗位职责 1/ 深度洞察电商客户与卖家的全流程体验，涵盖注册入驻、商品上架、订单生成、支付、用户互动、退货退款、用户反馈等环节。 2/ 建立电商平台运营与治理领域的专业知识体系，确保规则、策略及执行机制有效落地，推动用户遵守平台政策。 3/ 主导跨职能协作，持续完善平台政策与运营机制，营造协作环境以支持策略迭代。 4/ 基于海量数据集分析平台运营与治理问题的模式、趋势及商家违规手法。 5/ 通过数据分析提出平台治理与商品合规的管控优先级建议。 6/ 协同产品（PD）、技术（Tech）及算法（Algo）团队，构建机器学习模型与规则，检测平台商品分类及用户相关的运营治理问题。 7/ 负责风险引擎的日常运营，包括规则创建与持续评估，以预防和识别平台治理漏洞。 8/ 通过仪表盘、定期报告及演示汇报，向内外部利益相关方清晰传递分析结论与治理成果。