1. Provide quantitative analytics support to the AML QDA & strategy team to
   enhance risk assessment of ongoing current and emerging AML centric risks in core areas; business, client, operations & system controls within the international business entities.
2. Provide data extraction & quantitative validation for targeted AML risks or ongoing AML issues identified.
3. Responsible for the development, testing and operation of risk models such as customer risk rating model and transaction monitoring models to achieve efficient
   monitoring of suspicious activities.
4. Cooperate with the business team to respond to regular or irregular internal and
   external regulatory inspections and provide periodic quantitative entities’ risk assessment report.
5. Provide collaboration support with the AML data team on entity level business intelligence related request from regional AML teams.

Requirements:

1. Proficient in data handling coding (e.g., SQL) and at least one professional analytics tool such as SAS, python etc.
2.  Have a good command of Mandarin verbally.
3. At least two years’ AML/risk control/fraud management working experience in Financial Institution, Payment Institution, consulting firms or similar industries. Candidate with experience in Chinese companies were preferred.
4. Candidate with experience in AML risk modelling and data analytics are preferred.
5. Bachelor degree or above majoring in computer science/engineering, statistics, Mathematics, finance and similar fields.
6. Able to plan & work independently on required deliverables and deadlines.
7. Highly flexible and detail-oriented with the ability to multi-task and change directions based on demands.