Fraud Senior Specialist

About GoTyme GoTyme is a joint venture between the Gokongwei Group, one of the biggest conglomerates in the Philippines, and the Singapore-headquartered digital banking group Tyme. This venture combines the trusted Gokongwei brand, customer base, and distribution ecosystem with Tyme’s globally proven digital banking technology and hands-on experience building South Africa’s leading digital bank, TymeBank, one of the fastest-growing digital banks in the world today. At GoTyme, we have embarked on a journey to democratize financial services and bring next-level banking to the Philippines. We seek individuals who share our belief that the game is worth changing, to join our growing team of GoTymers as we build, launch, and scale a bank that empowers all Filipinos to navigate a path to financial freedom. About the role The Fraud Senior Specialist own the design, optimization, and operational management of fraud detection rules across Move rules and system pillars. Balance fraud prevention effectiveness with seamless customer experience by tuning rule thresholds, addressing detection gaps, and enabling rapid rule deployment while maintaining BSP compliance and regulatory oversight. Fraud Detection Rules Strategy & Design Define and design fraud detection rules aligned with velocity anomalies, behavioral deviations, amount thresholds, and multi-factor risk scoring Map transaction patterns across Instapay, PESONet, card products, and account activity to identify fraud typologies Rule Tuning & Performance Optimization Monitor rule performance metrics (detection rate, false positive rate, customer friction) using fraud analytics dashboards Conduct monthly rule efficacy reviews and adjust thresholds based on fraud trends and business impact analysis System & Platform Governance Own inventory of fraud rule engines. Coordinate with tech teams on rule deployment schedules with post-mortem monitoring, data integrations, and system performance issues. Fraud Analytics & Reporting Generate weekly/monthly fraud performance reports for executive and regulatory stakeholders. Conduct root-cause analysis on false positives and false negatives to refine rule logic. Regulatory Compliance & Control Governance Ensure rules align with BSP expectations on customer data privacy, transaction monitoring, and suspicious activity reporting (SAR). Maintain rule change logs with audit trails documenting approval, testing, and deployment dates. Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, or Finance or related field. Minimum 5–7 years in fraud risk management, fraud analytics, or fintech fraud prevention. Experience designing and optimizing fraud detection rules in production environments. Experience managing multiple fraud rule engines and coordinating cross-system deployments. Demonstrated expertise in conducting fraud root-cause analysis and tuning rules Proficiency in SQL and Python/R for transaction data analysis and statistical modeling Exposure to BSP regulations, AMLA, Data Privacy Act is an advantage.