We are looking for a data-driven professional to help strengthen Ant International's global Anti-Money Laundering (AML) framework. In this role, you will collaborate closely with compliance, strategy, and technical teams to enhance the accuracy of our AML data and support smarter, model-driven risk decisions across the business.
Job Description
- Responsible for the governance of underlying Anti-Money Laundering data to ensure the accuracy and completeness of data used by strategies, models, and systems.
- Drive the identification and management of Anti-Money Laundering risks using data-driven methods, assisting compliance officers in formulating effective risk-control plans.
- Support site compliance teams in responding to regular or ad-hoc internal and external regulatory inspections, including regulatory reporting and data support.
- Collaborate with technical and algorithm teams to enhance efficiency in quantitative AML strategy and improve manual review efficiency through model-driven methods.
Requirements
- Bachelor's degree or above in relevant fields such as statistics, mathematics, computer science, etc.
- At least 2 years of experience in big-data risk-control analysis and modeling, preferably in industries such as banking, third-party payment institutions, or fintech, with a preference for AML experience.
- Proficient in SQL data processing and skilled in at least one professional analysis tool, such as SAS, Python, R, etc.
- Strong project-management experience, good team collaboration skills, and ability to work under pressure.
- Fluent in English (listening, speaking, reading, and writing); proficiency in Chinese communication is preferred.
