(Deputy) AML Manager – Fraud Risk
Quick Summary
Provide advice for continuous improvement of fraud risk management framework of the Bank Establish and continuously review fraud risk prevention and monitoring measures via technology tools to combat the changing fraud trend Investigate and analysis…
Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines Relevant qualification in AML is preferred (e.g.
Responsibilities
~1 min read- →Provide advice for continuous improvement of fraud risk management framework of the Bank
- →Establish and continuously review fraud risk prevention and monitoring measures via technology tools to combat the changing fraud trend
- →Investigate and analysis the fraud cases/alerts generated by real-time fraud monitoring system
- →Collect and perform in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for identifying fraudulent modus operandi
- →Leverage artificial intelligence and machine learning models to solve fraud risk management challenges;
- →Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
- →Responsible for preparation and maintenance of documentations in relation to the AI model
- →Prepare intelligence reports / circulars for management's review
- →Liaise and work closely with various departments for enhancement and implementation of fraud related control measures.
- →Review and draft related policies, annual plans, operating or working procedures / manuals
Requirements
~2 min read- Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
- Relevant qualification in AML is preferred (e.g. Certified Fraud Examiner (CFE), Associate AML Professional (AAMLP), Certified Anti-Money Laundering Specialist(CAMS))
- 3-5 years' or above experience in handling fraud risk management/ AML compliance / IT projects in banking / financial sector, experience in implementation of artificial intelligence and machine learning models is preferred (For Senior Manager, at least 8 years relevant experience)
- Familiar with fraud risk controls, regulatory requirements and the market practices
- Proficiency in programming languages, including Python and R, and machine learning libraries
- Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
- Proficiency in spoken and written Chinese and English. Fluent in Putonghua will be an advantage
#LI-CT1
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Location & Eligibility
Listing Details
- First seen
- May 7, 2026
- Last seen
- May 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- May 7, 2026
Signal breakdown
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