Fraud Analytics & Investigation Analyst

Links International; Hong Kong Island; On-site; HKD 360,000 - 700,000; Full time

Job summary

Links International is seeking a Fraud Investigation Professional to join our risk management team in Hong Kong. The role focuses on conducting fraud investigations, analyzing suspicious activities, and supporting anti-fraud initiatives in collaboration with key stakeholders.

The ideal candidate holds a degree in a data-related field, has 1 year in fraud analytics or financial crime, and is proficient in English and Chinese (Putonghua).

Qualifications

• Degree in Data Science, Computer Science, Statistics, Mathematics, or related discipline.
• 1 year of experience in fraud analytics, risk analytics, financial crime compliance, or risk management within banking or financial services.
• Knowledge of banking products, operations, and regulatory requirements, particularly AML.
• Familiarity with data analysis tools, statistical techniques, and programming languages.
• Strong analytical, communication, and problem-solving skills.
• Proficiency in English and Chinese, including Putonghua.

Responsibilities

• Support the development and execution of fraud analytics and anti-fraud initiatives.
• Assist in the implementation of new fraud controls, including data analysis, requirement gathering, UAT testing, and result validation.
• Monitor fraud trends and identify opportunities to improve fraud detection effectiveness.
• Prepare fraud risk reporting, key risk indicators, and management information dashboards.
• Support investigations into fraud incidents, emerging fraud attacks, and financial crime typologies.
• Conduct research on fraud trends, regulatory developments, and industry best practices.

Job description

Links International is seeking a Fraud Investigation Professional to join our risk management team in Hong Kong. The role focuses on conducting fraud investigations, analyzing suspicious activities, and supporting anti-fraud initiatives in collaboration with key stakeholders.

The ideal candidate holds a degree in a data-related field, has 1 year in fraud analytics or financial crime, and is proficient in English and Chinese (Putonghua).