Job ref no.: 313-11052018-CC

(Senior) Fraud Analyst (strong data analytics tools preferred)


  • 5-day week


  • Handle data analysis and consolidation by using different statistic programmes and ensure the accuracy of data inputted
  • Conduct and implement fraud risk analysis as directed by Manager Fraud Risk Analytics and Implementation to identify fraud patterns and root problems
  • Analyse and monitor the operation performance of the functions
  • Support the functions to implement mandated controls to protect the business from fraud losses
  • Observe and report weakness of fraud risk monitoring operations
  • Suggest possible enhancements and facilitate the implementation of operational enhancements
  • Support local functions to achieve fraud business targets by proactively analyzing root problems and implementing adequate solutions
  • Participate new system or model implementation discussions and support required activities including analysis and testing and roll out
  • Ensure proper documentation of all end user computing programs in accordance with the Policies


  • Bachelor's degree or above in Finance, Statistic or relevant discipline
  • At least 4 year's banking experience, preferably with exposure to different AML and fraud investigation activities
  • Knowledge on data analytics tools such as SAS, R, SPSS, etc, and basic SQL programming knowledge is preferable
  • Positives towards learning, with to-do spirit
  • Good interpersonal skill and able to work as team
  • Strong attention to details, maintain a high level of accuracy
  • Strong command in both spoken and written English and Chinese
  • Proficient in Microsoft Office (Word, Excel, PowerPoint)

Interested candidates, please submit full resumes indicating current/ last and expected salaries via [CTgoodjobs Apply Now ] 

More job information
Job ref no. 313-11052018-CC (CT3115854-01#0005)
  • 30,000 - 55,000 / month
Job Function
  • Tai Kok Tsui
Employment Term
  • Contract
  • Full-time
  • 3 years - 8 years
Career Level
  • Middle management level
  • Degree