蚂蚁金服Ant International-Merchant & Client Operations Excellence Manager-Malaysia
任职要求
- Experience: 8+ years in FinTech, banking, or payment operations with proven expertise in CDD/KYC, AML frameworks (e.g. OFAC), and cross-border payment compliance. - Data Sensitivity: Strong data sensitivity, with the ability to identify problems and improve and solve them using pr…
工作职责
1. CDD/KYC Operations & Compliance - Execute end-to end Customer Due Diligence (CDD) and Know Your Customer (KYC) processes for merchants and clients, ensuring adherence to global AML/CFT regulations (e.g., FATF, local regulatory frameworks). - Conduct customer profile assessments, document verification (e.g., entity certificates, UBO identification), and ongoing periodic review etc. - Maintain audit-ready operational records and process document. 2. Operational Efficiency & Automation - Partner with Risk and LCAP Strategy teams to refine KYC/CDD standard, clear bottlenecks and optimize approval rates through data-driven adjustments. - Collaborate with Product/Tech to implement automation tools (e.g., OCR for document processing, RPA/APA for workflow triggers), reducing manual effort - Train frontline staff on CDD/KYC requirements and escalation protocols. - Implementation of Effectiveness Supervision and Inspection: - Identify, evaluate, and monitor various risks in daily business operations. - Conduct special reviews and inspections based on risk. - Timely feedback to management and business departments. Provide data-supported decision-making suggestions. - Offer effective improvement opinions and suggestions to prevent and reduce operational risks in key business and management areas.
Responsible for the design of supply chain marketing collaboration and sales planning products. By deconstructing traffic and marketing systems, connect business plans and goals with sales planning, marketing, and traffic promotion activities. Translate business objectives into sales plans that provide certainty for inventory planning, ensuring accuracy in sales forecasting and reliability in supply chain replenishment. Design systematic product solutions and establish a structured retail supply chain product system. Based on industry trends and business development goals, design scenario-based marketing tools and supply chain collaboration mechanisms. Drive cross-departmental resource integration to ensure product solutions are effectively implemented in key scenarios such as merchant operations and inventory management. Continuously enhance the certainty of marketing strategies, traffic mechanisms, and the supply chain system. Lead the construction of mid- to long-term product architecture. While ensuring product flexibility, build a scalable platform for supply chain marketing collaboration. Promote data standardization and process automation to develop industry-leading scenario-based solutions.
1、负责LAZADA商家工作台(PC&APP)、商家基础能力、商家经营健康产品规划与管理,制定并执行产品策略,以驱动业务增长和商家满意度提升。 2、对商家经营模式、工具,东南亚电商有较深的理解,可从商家经营视角组织和迭代工作台 3、了解商家的经营诉求,进行竞品分析,为产品创新提供有力的市场洞察 4、与跨部门团队协作,包括设计、开发、运营等,确保产品功能的顺利上线和优化。 5、监控产品性能指标,定期进行数据分析,以优化产品功能并解决商家痛点。 1、Responsible for product planning and management of LAZADA seller workstation (PC&APP) , seller basic capabilities,seller health, formulating and executing product strategies to drive business growth and merchant satisfaction. 2、Have a deep understanding of merchant business models, tools, and Southeast Asian e-commerce, and be able to organize and iterate the workbench from the perspective of merchant operations 3、Deeply understand market and merchant needs, conduct competitive analysis, and provide market insights for product innovation. 4、Collaborate with cross-functional teams, including design, development, and operations, to ensure smooth product feature launches and improvements. 5、Monitor product performance metrics, conduct regular data analysis, and optimize product features to address user pain points.
1. 商业化增长战略与规划 制定并落地商业化增长战略,覆盖不同平台广告类型的变现模式,确保收入规模和ROI持续增长。 设计长期商业化路径,优化定价、用户分层、营销激励等,推动业务可持续增长。 关注行业动态和竞品策略,探索新的商业化模式和增长机会。结合市场环境,优化定价、激励机制,提升广告产品offer竞争力。 2. 运营体系搭建与优化 优化商业化运营体系,包括广告主教育、投放策略、漏斗优化策略等. 建立标准化流程和运营机制,实现商业化产品的自动化、智能化运营。 规划并执行推广活动,推动广告主/商家入驻并提升付费意愿。 设计营销工具、活动方案,如折扣、返利、激励等,提升广告投放量和商家参与度。 3. 数据驱动增长与商业决策 优化数据指标体系,深度分析用户/商家行为,驱动商业化策略迭代。 设计数据工具和分析框架,提升收入预测、市场细分、精准营销等能力。 通过A/B测试和实验设计,提升广告主和商家的投放效率和LTV。 结合财务模型(如ARPU、LTV ,ROI等),制定商业优化方案,实现收入最大化。 4. 高效跨部门协作与团队管理 协同产品、技术、市场、销售团队,共同推进商业化目标落地。 推动商业化产品的技术开发与创新 -------------------------------------------------------- 1. Monetization Growth Strategy & Planning - Develop and implement a monetization growth strategy, covering monetization models across various advertising platforms to ensure sustainable revenue growth and ROI improvement. - Design a long-term monetization roadmap, optimizing pricing, user segmentation, and incentive mechanisms to drive sustainable business expansion. - Stay updated on industry trends and competitor strategies, exploring new monetization models and growth opportunities. Adapt pricing and incentive structures based on market conditions to enhance the competitiveness of advertising offerings. 2. Operational System Development & Optimization - Optimize the monetization operations framework, including advertiser education, ad placement strategies, and funnel optimization. - Establish standardized processes and operational mechanisms to achieve automation and intelligent monetization operations. - Plan and execute promotional campaigns to attract advertisers and merchants while increasing their willingness to pay. - Design marketing tools and promotional programs, such as discounts, cashback, and incentive schemes, to boost ad spend and merchant engagement. 3. Data-Driven Growth & Business Decision-Making - Refine key data metrics and analytical frameworks to gain deep insights into advertiser and merchant behaviors, driving continuous strategy iteration. - Develop data tools and analytical models to enhance revenue forecasting, market segmentation, and precision marketing. - Leverage A/B testing and experimental design to improve advertiser efficiency and lifetime value (LTV). - Utilize financial models (e.g., ARPU, LTV, ROI) to develop business optimization plans that maximize revenue potential. 4. Cross-Functional Collaboration and stakeholder management -Work closely with product, technology and commercial teams to ensure the successful execution of monetization strategies. -Drive technological development and innovation in monetization products to enhance revenue efficiency.