- Escritório em Montreal
Key Responsibilities
- Technical Leadership & Architecture
- Own the technical vision and architecture of Xsolla’s anti-fraud platform and services.
- 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)
- 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
- 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.
Required Qualifications
- Technical Experience
- 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
- Decision orchestration systems
- Strong backend engineering skills (e.g., Java, Kotlin, Go, or similar).
- Experience building high-volume, low-latency distributed systems.
- Event-driven architectures
- APIs and integrations
- Data stores used for real-time decisioning
- Domain Expertise
- Payment processing
- Digital commerce or marketplaces
- Gaming or virtual goods (strong plus)
- Understanding of fraud patterns, abuse vectors, and mitigation techniques.
- Chargebacks and dispute flows
- 3DS, risk exemptions, and payment scheme rules
- Working with external fraud vendors and tools
Leadership & Soft Skills
- 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).
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