What you'll be doing

• Lead a cross-functional squad including data scientists, analysts, compliance managers, and designers.
• Drive risk detection by integrating advanced Machine Learning models and building controls to identify AUP violations.
• Architect automated workflows and internal tooling to improve operational efficiency and reduce case handling times.
• Ensure services remain highly available, resilient, and secure with appropriate monitoring, observability, and decoupled architectures.

Requirements

• Proven engineering leadership experience mentoring and developing software engineers in an agile environment.
• Strong technical background with modern programming languages and understanding of frontend frameworks like React and TypeScript.
• Experience designing, deploying, and maintaining scalable distributed microservices in a cloud environment.
• Product and risk-focused mindset, prioritizing business impact and translating complex policies into engineering milestones.
• Excellent communication skills aligning technical and non-technical teams toward a shared vision.

Nice to Haves

• Experience in FinTech or Financial Crime domains such as AML, Sanctions, Fraud, or Policy enforcement.
• Partnering with Data Scientists to productionalize and scale Machine Learning models.
• Familiarity with cloud infrastructure and modern DevOps tools like AWS, Terraform, Kubernetes, and GitHub Actions.
• Experience optimizing high-volume case management platforms or operational back-office tools.
• Being a current customer of Wise.