Bachelor degree or above majoring in computer science/engineering, statistics, Mathematics, finance and similar fields; Candidate with experience in AML risk modeling, parameter tuning/optimization and data analytics are preferred. 1-2 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. Proficient in data handling coding (e.g. SQL) and at least one professional analytics tools such as SAS, python, R and so on. 4Ability in logic thinking and problem solving; Ability to plan & work independently on required deliverables and deadlines; Ability in independently completing suspicious transaction analysis (a full cycle of identify the problem, determine root cause, recommend plans, implement solutions); Ability in writing risk/model assessment reports.
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Career Level
Mid Level
Number of Employees
251-500 employees