Fraud Prevention & Analytics Manager

The Bank of East Asia (BEA)

Hong Kong

Sur place

HKD 600 000 - 900 000

Plein temps

Il y a 20 heures
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Résumé du poste

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

Responsabilités

  • 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.

Connaissances

Data analytics
Fraud investigation
Quality assurance
Risk management
Communication

Formation

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

Outils

SAS
Excel

Description du poste

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.

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