Design scalable, resilient systems for real-time transaction risk scoring, rule engines, and decision workflows.
Lead architectural decisions around AFS integrations, internal fraud engines, and third-party providers.
Ensure systems meet performance, reliability, security, and compliance requirements.
Fraud & Fintech Domain Leadership
Translate fraud and risk requirements into robust technical solutions.
Partner with Risk, Payments, and Compliance teams on: Transaction monitoring, Chargeback reduction, AML / KYC-adjacent workflows (where applicable), and Regulatory and scheme requirements (Visa, Mastercard, etc.)
Evaluate and evolve fraud strategies across: Card-not-present transactions, Alternative payment methods, Digital goods and gaming-specific fraud vectors
Engineering Execution: Lead a team of engineers (directly or as a technical lead across squads), Drive best practices in: Code quality and reviews, System observability and alerting, Secure development, and Incident response and root cause analysis
Balance speed, risk, and quality in a high-impact domain.
Collaboration & Influence: Work cross-functionally with Product Managers, Data Scientists, and Operations
Mentor senior and mid-level engineers in both technical depth and domain expertise.
- Act as a technical escalation point for complex fraud-related incidents.
- Qualifications & Skills:
- 8+ years of professional software engineering experience, with significant time in fintech or payments.
Proven experience designing or leading Anti-Fraud Systems (AFS), such as: Rule engines, Risk scoring pipelines, and Decision orchestration systems
Strong backend engineering skills (e.g., Java, Kotlin, Go, or similar).
Experience building high-volume, low-latency distributed systems.
Deep understanding of Event-driven architecture, APIs and integrations, Data stores used for real-time decisioning, and Domain Expertise
Hands-on experience with fraud prevention in: Payment processing, Digital commerce or marketplaces, and Gaming or virtual goods (strong plus)
Understanding of fraud patterns, abuse vectors, and mitigation techniques.
Familiarity with: Chargebacks and dispute flows, 3DS, risk exemptions, and payment scheme rules, and Working with external fraud vendors and tools
Proven ability to lead technically without relying solely on formal authority.
Strong decision-making skills in ambiguous, high-risk domains.
Excellent communication skills, able to explain complex technical and fraud concepts to non-technical stakeholders.
- Comfortable owning outcomes in a mission-critical area.
- Nice to Have:
- Experience working with data science or ML-driven fraud models.
Knowledge of AML, KYC, or regulatory frameworks.
Prior experience in global payment platforms or PSPs.
Experience operating systems at global scale (multiple regions, currencies, and regulations).
