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.
About Us:
Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions.
IntelliPro, a global leader in connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more.
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