Fraud Analytics Manager
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Before you apply
LocationNCR - WGC
SenioritySenior
Company size1,001–5,000 people
PostedJun 16, 2026 · 4mo ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Jun 16, 202659% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Design, implement, optimize, and prioritize fraud detection rules and machine learning models to combat identity theft, account takeover (ATO), and payment fraud.
Analyze large datasets to identify emerging fraud patterns and 'low-and-slow' attacks.
Define and track KPIs such as False Positive Rates (FPR), Fraud Rates, and Operational Impact.
Partner with Product, Engineering, and Customer Support to integrate fraud friction points into the user journey.
Oversee selection and integration of third-party fraud prevention vendors and internal link-analysis tools.
Lead analytical deep-dive during major fraud events to identify root cause and patch vulnerabilities.
Lead quality assurance of fraud strategies developed by analysts, ensuring documentation of business justification, expected impact, and approvals.
Skills
Python
machine learning
About the company
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
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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.
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Data Exploration: Analyze large datasets to identify emerging fraud patterns and “low-and-slow” attacks that traditional systems might miss.
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Performance Monitoring: Define and track key performance indicators (KPIs) such as False Positive Rates (FPR), Fraud Rates, and Operational Impact.
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Cross-Functional Leadership: Partner with Product, Engineering, and Customer Support to integrate fraud friction point into the user journey seamlessly.
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Tool Management: Oversee the selection and integration of third-party fraud prevention vendors and internal link-analysis tools.
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Incident Response: Lead the analytical deep-dive during major fraud events to identify the root cause and patch vulnerabilities immediately.
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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