Head of Fraud Engineering & Decisioning Architecture
We're partnering with one of Indonesia's largest digital payment platforms to build and modernize their core fraud engine.
This is a true fraud arc
- Strategic ownership of a national-scale fraud platform.
- High technical autonomy and direct impact on core financial infrastructure
- Shape the future of fraud tech in a market leader fintech
Head of Fraud Engineering & Decisioning Architecture - FinTech
About the Company and role
We are partnering with one of Indonesia’s largest and most established digital payment platforms. The company processes high transaction volumes daily and operates at national scale within the fintech ecosystem.
As part of its next phase of growth, the organization is modernizing its fraud and risk technology infrastructure and building stronger in-house capabilities. The Role we are seeking a senior Fraud Architecture leader to design and evolve the company’s real-time fraud decisioning platform.
This role sits at the intersection of engineering and risk leadership and requires strong technical depth in fraud systems, machine learning integration, and high-scale transaction environments.
Responsibilities
- Architect and evolve real-time fraud decisioning systems.
- Design hybrid rules-based and ML-driven scoring frameworks.
- Lead modernization of legacy fraud platforms.
- Reduce vendor dependency by building scalable in-house solutions.
- Partner with Data Science teams to productionize ML models.
- Optimize fraud detection performance while minimizing false positives.
- Ensure scalability, reliability, and low-latency transaction processing.
- Align technical architecture with business and regulatory requirements.
- 10+ years experience in either fraud engineering, risk-focused engineering, or anti-fraud engines
- Proven experience owning fraud or anti-fraud decisioning engines in production.
- Background in fintech, digital payments, e-wallet, or fraud solution companies.
- Strong understanding of transaction monitoring and real-time risk scoring.
- Hands-on exposure to machine learning in production environments.
- Experience handling large transaction volumes.
- Strong system architecture expertise (cloud-native, distributed systems).
- Ability to collaborate across various stakeholders.
- Nice to Have
- Experience at major digital payment platforms.
- Experience with fraud technology vendors or fraud solution companies.
- Southeast Asia fintech exposure.
If you possess the above requirements and are keen on a new challenge, please apply directly or email [email protected] for more information.
Referral reward: Rp5000000