Fraud Analytics Lead — Real-Time Detection & Insights

GCash; Metro Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

GCash, the leading FinTech in the Philippines, is seeking a Fraud Analytics professional to join the Technology & Operations team. You will monitor emerging fraud trends, craft data-driven insights, and collaborate to strengthen real-time detection across transactions.

The role requires a Bachelor's in IT/Statistics/Finance, 4+ years in fraud or fraud operations, and strong SQL skills to mine data and optimize rules. FinTech or payments experience is highly valued.

Qualifications

• Bachelor’s degree in Information Technology, Statistics, Finance, or a related field.
• Minimum 4 years of experience; 2+ years in Fraud Management or Fraud Operations.
• Experience in FinTech, Banking, or Payments preferred.
• Strong ability to read and write SQL scripts for data mining and analysis.
• Familiarity with Fraud Management Systems.

Responsibilities

• Tracking emerging fraud trends and collaborating with stakeholders to develop data-driven insights regarding potential gaps or exposures.
• Mitigating fraud by creating and publishing real-time rules to detect, deter, and decline suspicious transactions.
• Participating in design sessions for new projects to ensure critical data points are integrated into Fraud Management Systems for future rule-making.
• Writing and executing SQL scripts to extract data from repositories, providing ad-hoc analytics to support detection and deterrence activities.
• Strategizing and assessing technical requirements for Fraud Management System rules; partnering with cross-functional teams to drive fraud-related technical demands and system enhancements.

Skills

SQL scripting

Education

Bachelor’s degree in IT/Statistics/Finance

Tools

Fraud Management Systems

Job description

GCash, the leading FinTech in the Philippines, is seeking a Fraud Analytics professional to join the Technology & Operations team. You will monitor emerging fraud trends, craft data-driven insights, and collaborate to strengthen real-time detection across transactions.

The role requires a Bachelor's in IT/Statistics/Finance, 4+ years in fraud or fraud operations, and strong SQL skills to mine data and optimize rules. FinTech or payments experience is highly valued.