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 -…
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
About us At Ant International, we are committed to promoting mobile payment capabilities to all parts of the world. As such, we face dynamic, complex, and ever-changing risks including but not limited to fraud, CNP(card-not-present), ATO(account taken over) and abuse. We adopt strong risk control solutions and are implementing machine learning algorithms to respond to these challenges proactively and with agility. Responsibilities - Design and optimize security strategies for various risks including but not limited to card theft, account theft and fraud - Maintain user payment experience and risk control to ensure risk-experience optimization - Collaborate with teams including data, product, and technology to enhance the platform capabilities of our global risk engine - Provide payment card theft risk control solutions to Ant’s global strategic partners, covering areas including but not limited to United States, Europe, Hong Kong, Singapore, India, Malaysia, Indonesia, etc.
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.