蚂蚁金服Ant International-Expert, AML- Quantitative Data Analytics-Americas
任职要求
1. Bachelor degree or above majoring in computer science/engineering, statistics, mathematics, finance and similar fields; Candidate with experience in AML risk modelling, parameter tuning/optimization and data analytics are preferred. 2. At least three years' AML/risk control/fraud management working experience in FI, PI, consulting firms or similar industries; familiar with domestic and international AML regulatory requirements; have the basic concept of money laundering features, motions and patterns; Certified Anti-Money Laundering Specialist is a plus. 3. Proficient in data handling coding (e.g., SQL) and at least one professional analytics tool such as SAS, python etc. Experience in big data distributed processing is pr…
工作职责
About Ant International With headquarters in Singapore and main operations across Asia, Europe, the Middle East and Latin America, Ant International is a leading global digital payment, digitisation and financial technology provider. Through collaboration across the private and public sectors, our unified techfin platform supports financial institutions and merchants of all sizes to achieve inclusive growth through a comprehensive range of cutting-edge digital payment and financial services solutions. To learn more, please visit https://www.antglobal.com/ Job Description: 1. Responsible for building up transaction monitoring surveillance system and customer risk rating models, implement in-time assessment on AML models to guarantee performance. 2. Responsible for the innovative research and design on AML monitoring framework, utilize quantitative analytics and data techniques in a scientific way to improve the effectiveness of AML system. 3. Responsible for developing engine of automatic AML detection threshold tuning so as to guarantee quick reaction to continuous risk changes. 4. Provide quantitative analytics support to the compliance officers in regulatory visits and enquiries. 5. Work together with Product & Technology team to improve model effectiveness and extend AML defense line through applying AI and ML, meanwhile achieving commercialization. 6. Responsible for the development, testing and operation and maintenance of the risk model; based on the big data of the whole ant, mine the 360-degree characteristics of customers, and make innovations in customer identification, such as mining fund sources based on complex networks and mining user behaviour based on time series Preferences, etc., and apply the results to abnormal transaction identification and customer risk classification; 7. Responsible for the governance of anti-money laundering-related risks, formulate identification/disposal strategies; study the financial behaviors’ of hundreds of millions of Ant Financial users every day, and dig out abnormal financial behaviors, such as credit card cash, illegal fund-raising, drugs, gambling, fraud, etc. 8. Through the experience of risk management, gain insight into data problems, and design a complete suspicious transaction control plan.
• Be a subject matter expert on databases, particularly on Relational Databases, able to discuss with customer on database modelling, migration, performance testing and day to day operations • Have wide ranging experience with open source and commercial databases such as MySQL, PostgreSQL, Oracle & SQL Server…etc • Be familiar with major cloud service providers in using it for deployment of workloads (AWS, Alicloud, GCP, Azure…etc) • Be a technical expert on all aspects of OceanBase (compatibility assessment, deployment, administration, development, migration…etc) • Facilitate introduction, discussion and demonstration of OceanBase’s technology, vision and value proposition either via individual or group sessions with customers • Engage and discover prospects’ pain points, business/technical challenges and identify how OceanBase can add value • Run Proof of Concept projects with customers to validate OceanBase’s capabilities Support post sale OceanBase implementation with OceanBase delivery team • Maintain deep understanding of competitive as well as complementary technologies and how to position OceanBase DB in relation to them • Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to continuously improve OceanBase product and position in the market
阿里巴巴国际数字商业 (AIDC) 商业智能部招聘 公司&部门介绍 阿里国际数字商业集团（AIDC），是阿里巴巴集团的核心且快速增长的业务。 契合国家“一带一路”的战略方向，在国际化的大蓝海赛道上高速驰骋，连续多年收入增长在30%以上。旗下业务覆盖近200个国家、市场，服务于4亿的全球消费者，囊括跨境电商、本地电商、B2B、O2O零售、供应链网络等多元化的业务形态，在全球近30个国家与地区设置办公地点，拥有超过20种不同国籍的员工。 商业智能部是AIDC的商业分析与决策支持部门，我们依托于AIDC的全球化大数据以及阿里多年的商业分析经验沉淀，拥有来自于互联网、咨询、投资、传统行业等多元化背景的团队，产生多视角、全方位的立体洞察，支持集团以及各事业部与职能部门管理者的关键决策。 我们深入业务，通过有智慧的数据洞察， 紧密结合的业务场景，实现从宏观市场到微观战术的商业分析与判断，为决策层提供关键数据洞察、核心策略参考、支持主要的各项决策制定与优化，达到数据驱动业务的完美实践。 Team and Role Introduction: Working under AIDC BI family, this role is BI analyst supporting E-commerce Platform Miravia. Responsibilities: Key tasks and responsibilities: • Collect, clean, and maintain user data from various sources including marketing platforms, mobile app, web analytics etc. • Be the expert in using data to measure and analyze business performance in each our markets and lines of business. • Collaborate with product managers, marketing teams, and other stakeholders to identify areas of opportunity for improving user growth and engagement. • Lead new data analytics capability rollouts and/or data-led initiatives throughout Arise Project • Analyze user behavior data to identify trends, patterns, and insights that can be used to improve user engagement, retention and acquisition. • Design market/business intelligence reports and performance measurement dashboards to share with senior management• Perform ad-hoc business analysis, to drill down on certain business challenges, providing conclusions and advice based on data analysis. • Monitor and evaluate the effectiveness of user growth initiatives and make recommendations for optimization and improvement.
1. 安全战略落地与能力迁移 ○ 基于集团已确立的国际化安全战略，协助制定落地路线图； ○ 协同阿里控股安全团队将国内成熟的基础安全平台能力（如办公安全、生产安全、数据安全等）迁移至国际业务场景，实现“能力出海”。 2. 全球基础安全体系建设 ○ 搭建适配海外市场的基础安全体系，包括访问控制、数据保护、日志审计、威胁监测等； ○ 支撑 Lazada、AliExpress、Miravia等多区域业务的安全能力统一与差异化融合。 3. 产品与平台国际化适配 ○ 推动已有安全能力的国际化重构与组件解耦（语言、部署、合规、接口标准等）； ○ 指导控股安全平台产品形成海外通用输出形态，如SaaS化/轻代理/API服务化等。 4. 合规与数据主权落地 ○ 结合各区域法规要求（如GDPR、PDPA、拉美数据法等），推动策略制定与落地执行； ○ 支持数据本地化、跨境流转审计、国际隐私保护机制建设。 5. 全球安全运营能力建设 ○ 协同安全运营团队搭建覆盖多时区、多语言的全球运营体系（轻量SOC、安全工单系统等）； ○ 搭建全球威胁情报适配与协同机制，支撑本地事件响应能力。 6. 跨团队协作与团队建设 ○ 与平台（集团安全产技）、业务、安全技术、安全合规、法律、海外运营等团队紧密协作； ○ 参与相关人才梯队建设，为国际安全团队注入全球化能力。 Strategic Execution & Capability Reuse ● Translate group-level global security strategies into actionable execution plans; ● Drive the migration, adaptation, and productization of Alibaba’s core security capabilities (Cloud Infrastrcure, Application and Data Security, etc.) for international business use. Global Security Infrastructure & Architecture ● Build baseline security architectures across markets, including access management, data protection, audit/logging, and threat detection; ● Support regional business security unification while respecting localized needs. Internationalization of Security Products ● Lead internationalization efforts for internal security tools: multi-language support, local deployment architecture, and regional compliance standards; ● Deliver modular, API-driven, and SaaS-compatible security components for overseas platforms. Compliance & Data Sovereignty ● Design and enforce compliance frameworks aligning with GDPR, PDPA, CCPA, and other regional data privacy regulations; ● Support data localization, cross-border flow auditing, and international privacy mechanism design. Security Operations & Threat Response ● Co-build regionalized security operations capabilities (SOC-lite models, incident response playbooks, multilingual ticketing systems); ● Establish globally coordinated threat intel and response mechanisms. Cross-Team & Talent Development ● Work closely with security engineering, platform, legal, compliance, and international operations teams; ● Mentor or hire security professionals with international capabilities and build the foundation of a globally distributed team.
• Be the expert in using data to measure and analyse business performance in each our markets and lines of business. • Explore business issues/opportunities, uncover insights and/or identify targeted areas for business growth. • Partner with management and operational teams to deep dive on core issues and use our data to find answers. • Monitor key metrics and alert the business on potential issues. • Analyse operational efficiency and build business models to guide decision-making. • Daily/Weekly/monthly performance analysis to monitor the performance of business, to locate risk and to discover potential business opportunities. • Perform ad-hoc business analysis, to drill down on certain business challenges, providing conclusions and advice based on data analysis. • Help summarizing data analysis requirements to conduct data application projects (need communication with data tech team).