蚂蚁金服Ant International-Risk Strategy Analyst-Antom
任职要求
技术能力： ● 熟悉支付反欺诈业务领域，熟悉互联网常见的业务漏洞和利用手段，2年或以上相关领域风控经验 ● 熟练应用 SQL/Python/R等数据分析&挖掘语言，具备处理大数据的经验，具备较强的数据敏感度和数据分析技能，熟练掌握通过数据分析发现可疑交易的特征，并输出可执行的具体方案 ● 有风险交易事实监控对抗和运营风控策略的经验，并通过根因…
工作职责
● 针对Lazpay账户体系、资金渠道、支付场景和欺诈案件等进行风险评估，通过数据挖掘和其他手段，建立针对性的欺诈风险管理策略、风险模型与监控机制 ● 通过数据化运营的方法，及时掌握风险及业务的变化，根据实际情况持续优化调整风险策略，最大限度地减少跨多个产品、多国家的业务欺诈资损 ● 过与案件调查，模型等内外团队合作，针对历史案件进行深度挖掘，刻画用户特征和作案链路，持续优化欺诈风险对抗能力 ● 监测和评估各项风险策略执行情况和效果，持续优化和完善风险政策，跟踪业务和风控指标变化，通过数据分析定位问题，并给予解决方案建议 ● 负责Lazpay各项业务的风险评估，并根据不同的业务特点制定相关风控方案，并持续监控，且不断优化调整风控策略，以帮助Lazpay在欺诈损失和客户体验之间建立最佳平衡
As a Business Intelligence Analyst, you will bridge data and business strategy for Antom’s North America team. You will monitor performance metrics, forecast trends impacted by regulatory/political shifts, and deliver actionable insights to optimize operations. • Performance Tracking & Risk Management: Monitor key business volume KPIs, identify deviations from expected performance, and proactively communicate early risk alerts to relevant stakeholders. • Regulatory & Political Impact Analysis: Conduct detailed analysis of transaction volume fluctuations resulting from new regulations, political events, or macroeconomic trends. Develop predictive models to forecast mid- to long-term impacts. • Business Operations Analysis: Collaborate closely with cross-functional teams to analyze profitability drivers, operational efficiency, and potential market opportunities. Deliver clear and actionable reports based on your findings. • Data Product Development: Define core business metrics, meticulously document domain-specific knowledge, and partner with data engineers to build robust and scalable data products, such as dashboards and data warehouse tables.
As a Business Intelligence Analyst, you will bridge data and business strategy for Antom's Alibaba Group Team. You will monitor performance metrics, forecast trends impacted by regulatory/political shifts, and deliver actionable insights to optimize operations. Key Responsibilities: 1. Performance Tracking & Risk Management: Track business volume KPIs, identify deviations, and provide early risk alerts to stakeholders. 2. Regulatory & Political Impact Analysis: Conduct granular analysis of transaction volume changes driven by new regulations, political developments, or macroeconomic factors. Build predictive models for mid-/long-term trends. 3. Business Operations Analysis: Partner with cross-functional teams to analyze profitability, operational efficiency, and market opportunities. Deliver clear, actionable reports. 4. Data Product Development: Define business metrics, document domain knowledge, and collaborate with data engineers to build scalable data products (e.g., Dashboards, Data warehouse tables).
1. Responsible for the governance of underlying anti-money laundering/sanctions/global trade compliance data to ensure the accuracy and completeness of data used by strategies, models, and systems. 2. Drive the identification and management of anti-money laundering/sanctions/global trade compliance risks using data-driven methods, assisting compliance officers in formulating effective risk control plans. 3. Support site compliance teams in responding to regular or ad-hoc internal and external regulatory inspections, providing regulatory reporting and data support. 4. Innovate with technical and algorithm teams to enhance automation in quantitative strategy qualification and improve manual review efficiency through big model-driven methods.