阿里巴巴LAZADA-安全策略运营/平台治理-杭州

任职要求

Requirements/Qualifications(must have)
A Bachelor's/Postgraduate degree in an applicable field of study: Finance, Business, Accountancy, Computer Science, Math, Statistics, etc.
At least 5 years of experience in platform governance, operations, risk analytics, business intelligence, forensics, or other related roles in the technology, financial, or consulting industry
Experience in e-commerce trust & safety or with experience in C2C marketplaces is preferred
Strong analytical and quantitative skills; ability to use data and metrics to back up assumptions, recommendations, and drive actions
Effective communicator with excellent interpersonal skills, capable of working with diverse teams and stakeholders to ensure alignment and collaboration
Proactive problem-solver, able to identify potential issues and implement solutions from end to end
Excellent written and verbal communication in English
Working knowledge of SQL to extract and analyze large data sets is required
Ability to manage ambiguity and thrive in a fast-paced working environment


1/ 需持有金融、商业、会计、计算机科学、数学、统计学等相关领域的本科或研究生学历。
2/ 至少5年科技、金融或咨询行业从业经验，领域涵盖平台治理、运营管理、风险分析、商业智能、法务分析或相关岗位；具备电商平台信任与安全（Trust & Safety）或C2C平台经验者优先。
4/ 出色的定量分析与逻辑推理能力，能通过数据指标验证假设、支撑决策并推动业务行动；熟练使用SQL进行大数据提取与分析。
5/ 熟悉流量欺诈治理、商品合规风控、知识产权侵权等场景的解决方案设计。
6/ 优秀的跨团队沟通能力与高情商，能与多元化背景团队及利益相关方高效协同；英文书面与口头表达能力流畅（需独立撰写报告及主持会议）。
7/ 主动识别潜在风险，具备端到端闭环落地解决方案的能力；适应模糊业务场景，在快节奏、高压力环境中保持敏捷响应。

工作职责

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。