Tech Lead (Fintech, Anti-Fraud)

TL;DR

Tech Lead (Fintech, Anti-Fraud): Driving the technical direction, architecture, and delivery of fraud prevention and risk systems with an accent on real-time transaction risk scoring, rule engines, and decision workflows. Focus on designing scalable, resilient systems and evolving fraud strategies across various payment methods and digital goods.

Location: Hybrid in Montreal, Canada

Company

hirify.global is a global commerce company providing payment processing, fraud prevention, and monetization solutions for the video game industry.

What you will do

• Own the technical vision and architecture of hirify.global’s anti-fraud platform and services.
• Design scalable, resilient systems for real-time transaction risk scoring, rule engines, and decision workflows.
• Lead architectural decisions for Anti-Fraud Systems (AFS) integrations and internal fraud engines.
• Partner with Risk, Payments, and Compliance teams on transaction monitoring, chargeback reduction, and AML/KYC workflows.
• Evaluate and evolve fraud strategies across card-not-present transactions, alternative payment methods, and digital goods.
• Lead and mentor engineers, driving best practices in code quality, system observability, and secure development.

Requirements

• 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, or 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 architectures, APIs, and data stores for real-time decisioning.
• Hands-on experience with fraud prevention in payment processing or digital commerce.

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).

Hiring process

• AI tools may be used to support parts of the hiring process, including reviewing applications, analyzing resumes, or assessing responses.
• These AI tools assist the recruitment team but do not replace human judgment.
• Final hiring decisions are ultimately made by humans.