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:
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
