Fraud Prevention & Analytics Manager

The Bank of East Asia (BEA); Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

The Bank of East Asia (BEA) in Hong Kong is seeking a data-forward professional to support fraud prevention within Retail Lending. The role can focus on either fraud case investigation or data-driven rule setting, with a strong emphasis on QA to minimize fraud loss and maintain high-quality controls.

Responsibilities include analyzing fraud cases and market trends, executing QA for alerts and processes, and ensuring compliance with policies and regulations.

Qualifications

• Degree in a quantitative field (e.g., Business Analytics, Stats, CS)
• At least 3 years in data analytics, fraud investigation, QA, or risk roles in banking/finance
• Knowledge of retail lending products and fraud trends
• Proficiency in SAS and advanced Excel is advantageous
• HKIB qualification is an advantage
• Excellent written and spoken English and Chinese (Cantonese & Putonghua)
• Self-driven team player with attention to detail and ability to work with minimal supervision

Responsibilities

• Analyze reported fraud cases and market trends to identify risks.
• Implement QA measures to ensure accuracy of fraud prevention processes, alert handling, and compliance.
• Monitor fraud prevention workflows for timely case resolution and mitigation of suspicious activities.
• Ensure compliance with internal policies, Bank guidelines, and regulatory requirements.
• Assist business units with incident management and fraud-related customer inquiries or complaints.
• Support ad-hoc projects, including Regtech enhancements or process streamlining.

Skills

Data analytics

Fraud investigation

Quality assurance

Risk management

Communication

Education

Bachelor's degree in a quantitative field (e.g., Business Analytics, Statistics, Computer Science)

Tools

SAS

Excel

Job description

The Bank of East Asia (BEA) in Hong Kong is seeking a data-forward professional to support fraud prevention within Retail Lending. The role can focus on either fraud case investigation or data-driven rule setting, with a strong emphasis on QA to minimize fraud loss and maintain high-quality controls.

Responsibilities include analyzing fraud cases and market trends, executing QA for alerts and processes, and ensuring compliance with policies and regulations.