Fraud Analytics Lead: Real-Time Detection & Strategy

Globe Telecom, Inc.; Metro Manila; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Globe Telecom, Inc. is seeking a Fraud Analytics Lead to strengthen our fintech fraud detection capabilities in the Philippines.

You will track emerging fraud trends, design real-time rules, and work with Product, Engineering, and QA to embed data points into Fraud Management Systems, while delivering actionable analytics from SQL-based data extractions. Ideal candidates will have a strong background in information technology or statistics, 4+ years in fraud-related roles, and a proven ability

Qualifications

• Bachelor’s degree in Information Technology, Statistics, Finance, or a related field.
• Strong ability to read and write SQL scripts for data mining and analysis.
• Experience in Fraud Management or Fraud Operations.
• Experience in FinTech, Banking, or Payments is highly preferred.
• 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 the 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.

Job description

Globe Telecom, Inc. is seeking a Fraud Analytics Lead to strengthen our fintech fraud detection capabilities in the Philippines.

You will track emerging fraud trends, design real-time rules, and work with Product, Engineering, and QA to embed data points into Fraud Management Systems, while delivering actionable analytics from SQL-based data extractions. Ideal candidates will have a strong background in information technology or statistics, 4+ years in fraud-related roles, and a proven ability