岗位描述
Responsibilities:
Investigation suspicious transactions related to financial crimes and prepare STRs
Formulate and maintain the Bank's AML policies and procedures
Support the implementation and maintenance of transaction monitoring systems, artificial intelligence and machine learning models and other Regtech solutions, with development skills will be better
Data processing capabilities, including data analysis, data processing, and data integration, enabling the transformation from basic data to application data in accordance with anti-money laundering business requirements
Continuously monitor and analyze AI model performance and provide optimization recommendations, ability to directly modify the program to implement optimizations is preferred;
Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and solution vendors;
Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities
Manage special assignments as needed
Requirements:
Bachelor Degree holder in preferably Law, Business, Computer Science, Data Science, Financial Mathematics, Statistics or relevant disciplines
3 years of experience in AML / KYC field for Manager role
Less experience may be considered for Deputy Manager or Assistant Manager roles, Candidate with more experience would be considered as Senior Manager.
Strong understanding of AML regulatory requirements
Proficiency in programming languages, including Python, SQL, VBA and machine learning libraries
Strong understanding of machine learning algorithms, deep learning and statistical methods
Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently under pressure and meeting tight deadline
Competent in report writing and presentations
Professional qualification in AML (e.g. AAMLP / CAMLP / CAMS) is an advantage
Proficient in spoken and written English and Chinese
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