Fraud Management Manager – Retail Lending

The Bank of East Asia (BEA); Hong Kong; Sur place; HKD 600 000 - 900 000; Plein temps

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 successful candidate will support the Bank’s fraud prevention framework within the Retail Lending Department. This role offers flexibility in focus: the individual will be responsible for either fraud case investigation or data-driven fraud detection rule setting, combined with a strong emphasis on Quality Assurance (QA). The primary goal is to minimize fraud loss through trend analysis and ensure the high quality and accuracy of all fraud prevention measures through continuous monitoring.

Key Responsibilities

• Analyze reported fraud cases and market trends to identify risks.
• Implement and execute quality assurance measures to ensure the accuracy and effectiveness of fraud prevention processes, alert handling, and compliance.
• Monitor and optimize fraud prevention workflows to ensure timely case resolution and prompt mitigation of suspicious activities.
• Ensure all assigned tasks and processes are delivered in strict compliance with internal policies, Bank guidelines, and regulatory requirements.
• Assist business units with incident management and professional handling of fraud-related customer inquiries or complaints.
• Support the Section Head with ad-hoc projects, including Regtech enhancements or process streamlining.

Requirements

• University graduate in Business Analytics, Management Science, Statistics, Computer Science, or a related quantitative discipline.
• Minimum 3 years of experience in data analytics, fraud investigation, quality assurance, or a similar risk-related role within the banking/financial sector.
• Knowledge of retail lending products and fraud market trends.
• Proficiency in SAS and advanced Excel is a distinct advantage.
• Relevant HKIB qualification is an advantage.
• Excellent command of written and spoken English and Chinese (Cantonese and Putonghua), with the ability to present complex ideas clearly.
• A self-driven team player with meticulous attention to detail and the ability to work under minimal supervision.

(Note: Candidates with less experience will be considered for the post of Assistant Fraud Management Manager.)

Personal data provided by job applicants will be used for recruitment purposes only and will be treated in accordance with the Bank's Personal Data Policy, which is available upon request. Applicants who are not invited for interviews within six weeks may consider their applications unsuccessful and the personal data collected will be destroyed after 1 year.