Senior Fraud & Risk Analytics Analyst

Lalamove; Hong Kong; On-site; HKD 420,000 - 640,000; Full time

Job summary

Lalamove is seeking a data-driven professional to identify and mitigate fraud across its ecosystem in Hong Kong. You will analyze platform signals, conduct in-depth risk assessments, and translate findings into proactive controls while collaborating with cross-functional teams.

Essential qualifications include a CS/Analytics-related degree, 2+ years in data analytics or fraud, strong SQL skills, and fluency in English and Chinese. Experience with Tableau/Power BI is a plus.

Qualifications

• Bachelor's degree or above in CS, data analytics or logistics.
• Minimum 2 years in data analytics, fraud investigation, or case management; fresh grads with strong analytics welcome.
• Strong SQL and quantitative analytics skills.
• Proficient in English and Chinese (written and spoken).

Responsibilities

• Analyze platform-wide signals and data to identify fraud vectors.
• Conduct qualitative and quantitative analysis on complex risk scenarios.
• Gather and evaluate risk intelligence related to anti-narcotics and AML.
• Monitor risk patterns and design balanced enforcement strategies.

Skills

SQL

Data analytics

Fraud investigation

Bilingual (English/Chinese)

Education

Bachelor's degree or above in CS, Data Analytics or Logistics

Tools

Tableau

Power BI

Job description

Lalamove is seeking a data-driven professional to identify and mitigate fraud across its ecosystem in Hong Kong. You will analyze platform signals, conduct in-depth risk assessments, and translate findings into proactive controls while collaborating with cross-functional teams.

Essential qualifications include a CS/Analytics-related degree, 2+ years in data analytics or fraud, strong SQL skills, and fluency in English and Chinese. Experience with Tableau/Power BI is a plus.