Engineering Lead - Fincrime

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.

As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.

The AUP (Acceptable Use Policy) team is part of Fincrime. We design, build, and operate the preventative and detective controls that monitor transactions and customer activity. If someone tries to use Wise for prohibited activities, we detect it, review it, and take action.

Join us as we shift our strategy from "Policy-First to Risk-Driven" to drive growth. We want to enable all legal activities and minimise friction for legitimate customers, while surgically targeting and neutralising genuinely illicit, high-risk behaviours.

As the Engineering Lead, you will lead a highly collaborative, cross-functional squad, alongside data scientists, analysts, compliance managers, and designers. You will partner directly with your Product Manager, Compliance Lead, and Lead Data Scientist to define both the product and technical vision for the team.

Responsibilities:

• Risk Detection: Close coverage gaps and scale our detection systems by integrating advanced Machine Learning models and building robust controls to spot AUP violations.
• Supercharge Operations: Architect automated workflows and intuitive internal tooling to reduce the cost per case and median handling times for our operations analysts.
• Own the Architecture: Keep our services highly available, resilient, and secure. You’ll ensure we have the right monitoring, observability, and decoupled architectures to scale alongside Wise's massive global volume.

Qualifications:

• Engineering Leadership: Proven experience leading, mentoring, and developing software engineers in an agile environment.
• Strong Technical Roots: Solid engineering background with modern languages and understanding of frontend frameworks like React and TypeScript.
• Distributed Systems at Scale: Designed, deployed, and maintained scalable, concurrent microservices in a cloud environment.
• Product & Risk Mindset: Understand business impact, operational bottlenecks, and translate complex policy mandates into simple, incremental engineering milestones.
• Excellent Communication: Align engineers, data scientists, and non-technical business partners toward a shared technical vision.

Nice to Have:

• Prior experience working in FinTech, Financial Crime (AML, Sanctions, Fraud, or Policy enforcement).
• Experience partnering with Data Scientists to productionalize and scale Machine Learning models.
• Familiarity with Cloud Infrastructure and modern DevOps tooling (AWS, Terraform, Kubernetes, GitHub Actions).
• Experience building or optimizing high-volume case-management platforms or operational back-office tools.

Benefits:

• Starting salary: 80,000 - 100,000 EUR annual gross + RSUs
• Wise Benefits