2 месяца назад
Head of Fraud Analytics & Operations (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Fraud Analytics & Operations (Fintech): Leading fraud risk management across digital financial products, channels, and the end-user lifecycle with an accent on prevention, detection, investigation, monitoring, and governance. Focus on strengthening fraud analytics and operations, managing incident response, improving control effectiveness, and balancing fraud mitigation with business growth and customer experience.
Location: Jakarta, Indonesia
Company
operates in fintech and digital financial services.
What you will do
- Own the fraud risk management strategy, framework, roadmap, governance structure, and operating model across products, channels, and the end-user lifecycle.
- Lead the Fraud Analytics and Fraud Operations teams, aligning prevention, detection, investigation, remediation, monitoring, and reporting.
- Provide strategic direction on fraud rules, monitoring parameters, analytical models, investigation approaches, operational controls, and mitigation initiatives.
- Oversee fraud incident management, including root cause analysis, impact assessment, corrective actions, and preventive measures.
- Review fraud losses, detection rates, approval impact, false positives, operational capacity, customer friction, and investigation quality.
- Build leadership capability, improve fraud governance and controls, and promote anti-fraud ownership across cross-functional teams.
Requirements
- At least 10 years of experience in fraud risk and credit risk within fintech, digital lending, digital banking, or e-commerce.
- At least 3–5 years of experience managing fraud or risk teams, preferably across analytics and operations.
- Experience with identity fraud, account takeover, transaction fraud, merchant fraud, collusion, abuse patterns, and social engineering-related fraud.
- Understanding of fraud analytics, fraud rules, risk segmentation, dashboards, early warning indicators, detection models, investigation workflows, case management, escalation, and quality assurance.
- Strong stakeholder management, leadership, coaching, judgment, structured thinking, and attention to detail.
- Conversational English is required.
Culture & Benefits
- Full-time employment.
- Cross-functional collaboration with Risk, Product, Data Science, Engineering, Information Security, Compliance, Operations, and Business teams.
- Fast-paced environment focused on business growth, operational efficiency, customer experience, and regulatory expectations.
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