蚂蚁金服Ant International-Risk Data Analyst (eWallet)-Malaysia
任职要求
- Bachelor’s degree in mathematics, statistics, finance, management science, computer science, or related fields; - At least 3-5 years of work experience in big data analysis and data mining, with experience in banks, third-party payment institutions, card providers and internet companies preferred - Good analytical and problem-solving skills, adept at applying data methods - Collaborative and inquisitive mindset - Proficient in English and Mandarin to communicate with Mandarin-speaking stakeholders - Proficiency in SQL data processing is required - Proficiency in SAS, Python, R is a nice to have
工作职责
This is a great opportunity to advance your career with a stable and expanding organization as a member of Ant Group’s Risk Management team. You will focus on creating a cutting-edge international merchant risk control system. We provide an innovative and open work environment where you have the opportunity to work with top international AI and risk control experts. You will focus on ensuring our business activities remain safe, compliant and well-positioned for future opportunities and sustainable growth. Responsibilities: - Thoroughly analyze various types of data about the user, transaction, etc., excavate risk characteristics - Support the build of a user risk profile including designing a comprehensive user risk quantification strategy for batch registeration, promotion abuse, fraud, and arbitrage etc. - Create a data-driven strategy to support business risk decision-making to ensure the healthy, compliant and sustainable development of international business - Collaborate with teams such as algo, policies, products, technology, and operations to build and improve an AI based merchant quantitative risk management platform, and create merchant security solutions and service products; - Assist risk management team with departmental initiatives and other duties as assigned
1. Develop and execute risk mitigation strategies to align with the company's risk appetite and compliance objectives. 2. Conduct thorough analysis of market trends, regulatory changes, and emerging risks in the fintech/payment industry. 3. Collaborate with cross-functional teams to implement strategic initiatives that enhance risk management capabilities. 4. Design and optimize risk models and frameworks to identify, assess, and mitigate potential risks effectively. 5. Provide strategic guidance to the operational teams for proactive risk identification and resolution.
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.
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.
基于用户在蚂蚁国际体系内的操作及资金行为，挖掘并定性潜在的洗钱风险，并将其抽象为相应的反洗钱交易监测模型或者策略持续运行，以满足各国监管机构对蚂蚁的反洗钱履职要求，从而有效管控业务洗钱风险。 主要工作包括： 1.负责洗钱可疑交易监测体系的优化及运维：基于整个蚂蚁国际的大数据，从中挖掘出异常金融行为，如洗钱、信用卡套现、非法集资、毒品、赌博、欺诈等。在客户身份识别上做出创新，如复杂网络挖掘资金来源、基于时间序列挖掘用户行为偏好等等，并把成果应用在异常交易识别、客户风险分层上； 2.独立负责部分站点的反洗钱运营工作，包括可疑交易监测、EDD、名单扫描等，保证该站点洗钱风险持续处于低位； 3.配合站点合规团队应对定期或者不定期内外部监管检查，提供数据分析支持； 4.和算法及技术团队协作创新，通过大模型的应用提高模型有效性和覆盖范围，达成流程自动化和产品化的目标。