Requirements

Strong SQL skills, Experience with behavioral or transactional datasets, Knowledge of ML/data science models, Familiarity with fraud/scam detection

Skills

SQLData AnalysisFraud detection

Analyze user activity data to identify scammer and fraud modus operandi
Own the full lifecycle of detection rules on internal risk systems
Translate investigation findings into concrete detection signals and rule logic
Monitor performance of active rules including precision, recall, and false-positive rates
Investigate emerging abuse patterns from data exploration to root cause analysis
Partner with operations teams to turn frontline observations into analytical hypotheses
Build and maintain dashboards and reports to track fraud trends and team KPIs
Participate in cross-functional reviews with Product and Engineering

Strong SQL skills for complex queries and exploratory analysis
Experience analyzing behavioral or transactional datasets for anomalies
Logical and structured problem-solving abilities
Working knowledge of ML and data science model functions
Comfort with APIs, data pipelines, and terminal environments
Familiarity with fraud, scam, or abuse detection in marketplace or fintech contexts
Understanding of common fraud typologies like account manipulation and social engineering
Proactive communication skills for technical and non-technical stakeholders

Carousell Group is the leading multi-category platform for secondhand in Greater Southeast Asia on a mission to make secondhand the first choice.