Fraud Analytics Manager

GCash; Manila; On-site; PHP 800,000 - 1,200,000; Full time

Benefits offered by this job

Career growth opportunities

Competitive compensation and benefits

Job summary

GCash in Manila is looking for a dedicated professional to spearhead fraud detection efforts within the FinTech sector. This role involves designing effective fraud detection rules using machine learning models and leading cross-functional initiatives to enhance user experience while mitigating fraud risks.

Join a collaborative team focusing on innovative solutions that benefit Filipinos every day. The position offers room for career growth and a competitive compensation package.

Qualifications

• Experience in designing and optimizing fraud detection strategies.
• Ability to analyze large datasets and identify fraud patterns.
• Strong leadership skills to collaborate across teams.

Responsibilities

• Design, implement, and optimize fraud detection rules.
• Analyze datasets to identify emerging fraud patterns.
• Define and track KPIs related to fraud detection.

Skills

Machine learning models

Data analysis

Cross-functional leadership

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