Fraud Data Analyst

2-4 Years

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Early Applicant

Job Description

Responsibilities

Monitor fraud trends, anomalies, and suspicious activities.
Analyze fraud detection performance (hit rate, false positive, detection quality).
Evaluate and optimize fraud rules and provide enhancement recommendations.
Conduct pattern analysis, transaction behavior analysis, and root cause investigation.
Track fraud metrics including fraud ratio, fraud loss, and SLA.
Ensure data quality through validation and reconciliation.
Develop dashboards, visualizations, reports, and actionable business insights.
Support continuous improvement of fraud analytics processes and monitoring.

Requirements

Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics, or related fields.
Minimum 2 years of experience in Data Analytics, preferably in Fintech, Banking, Multifinance, or Digital Lending.
Proficient in SQL and Google Sheets.
Familiar with Python, R, SAS, or other analytics tools.
Experience with visualization tools (Power BI, Superset, Google Data Studio / Looker Studio).