Assistant/Deputy/ Anti-Fraud Manager (Policy & Intelligence Analysis)
Quick Summary
Fraud Detection and Intelligence Analysis Analyze fraud patterns and trends with AI tools to identify potential fraud schemes.
Bachelor degree holder or above in Risk Management, Law, Computer Science, Data Science, Artificial Intelligence, Mathematics, Information Technology, or a related discipline is preferred.
Responsibilities
~1 min read- →Fraud Detection and Intelligence Analysis
- →Analyze fraud patterns and trends with AI tools to identify potential fraud schemes.
- →Prepare and present reports on fraud trends and prevention strategies to senior management.
- →Policy Development
- →Develop and enforce anti-fraud policies and procedures using AI tools.
- →Assist in ensuring compliance with legal and regulatory requirements on AI models.
Requirements
~1 min read- Bachelor degree holder or above in Risk Management, Law, Computer Science, Data Science, Artificial Intelligence, Mathematics, Information Technology, or a related discipline is preferred.
- 2 years’ work experience in risk analytics or risk management or data management is preferred.
- Knowledge of the following software, SAS, Python, R, SQL, Tableau is preferred.
- Strong statistical knowledge.
- Knowledge of AI such as Generative AI, Agentic AI, will be an advantage.
- With credit card fraud work experience will be an advantage.
- Strong communication skill, passionate and energetic.
- Good command of written and spoken Chinese and English. Fluent Mandarin will be an advantage.
If you are applying for in-scope position(s) under the Mandatory Reference Checking Scheme (i.e., A role carrying out regulated activities licensed by the IA, SFC & MPFA), you are required to undergo the Mandatory Reference Checking. Our responsible recruiter will inform you the details of the MRC process and the requirements in due course. For details, please click here.
Location & Eligibility
Listing Details
- First seen
- September 24, 2026
- Last seen
- September 25, 2026
Posting Health
- Days active
- 1
- Repost count
- 0
- Trust Level
- 53%
- Scored at
- September 25, 2026
Signal breakdown
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