Fraud Analytics Manager

GCash; Metro Manila; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

GCash in the Philippines is seeking a data-driven fraud analytics leader to design and optimize detection rules and ML models to combat identity theft, ATO, and payment fraud. You will collaborate with Product, Engineering, and Customer Support to integrate fraud controls into the user journey.

You will analyze large datasets to detect fraud patterns, monitor KPIs like FPR and fraud rates, and lead incidents while ensuring robust documentation and approvals throughout the workflow.

Qualifications

Responsibilities

• Strategy & Implementation: Design, implement, and optimize and prioritize fraud detection rules and machine learning models to combat identity theft, account takeover (ATO), and payment fraud.
• Data Exploration: Analyze large datasets to identify emerging fraud patterns and "low-and-slow" attacks that traditional systems might miss.
• Performance Monitoring: Define and track KPIs such as False Positive Rates (FPR), Fraud Rates, and Operational Impact.
• Cross-Functional Leadership: Partner with Product, Engineering, and Customer Support to integrate fraud friction point into the user journey seamlessly.
• Tool Management: Oversee the selection and integration of third-party fraud prevention vendors and internal link-analysis tools.
• Incident Response: Lead analytical deep-dives during major fraud events to identify root cause and patch vulnerabilities immediately.
• Quality Assurance: Lead QA of fraud strategies developed by analysts with thorough documentation including business justification and expected impact.

Job description

Job Description:

Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!

Overall Duties and Responsibilities

• Strategy & Implementation: Design, implement, and optimize and prioritize fraud detection rules and machine learning models to combat identity theft, account takeover (ATO), and payment fraud.
• Data Exploration: Analyze large datasets to identify emerging fraud patterns and "low-and-slow" attacks that traditional systems might miss.
• Performance Monitoring: Define and track key performance indicators (KPIs) such as False Positive Rates (FPR), Fraud Rates, and Operational Impact.
• Cross-Functional Leadership: Partner with Product, Engineering, and Customer Support to integrate fraud friction point into the user journey seamlessly.
• Tool Management: Oversee the selection and integration of third-party fraud prevention vendors and internal link-analysis tools.
• Incident Response: Lead the analytical deep-dive during major fraud events to identify the root cause and patch vulnerabilities immediately.
• Quality Assurance: Lead the quality assurance of fraud strategies developed by the analysts. Ensuring all proposed strategies are documented thoroughly, including the business justification, expected impact, and appropriate approvals.

What We Offer

Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package