Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-tier brand, niche fraud+ML leadership, metro location and broad skills produce moderate competition.
Role demands deep fraud, financial crime and regulated-banking experience, so cross-industry transferability is low.
Requires proven fraud, ML production and regulated-environment leadership, making hiring highly selective.
Lead engineering strategy and execution for Tide's Ongoing Monitoring platforms covering fraud, financial crime, AML, and regulatory risk across all transaction types.
Own multi-disciplinary teams including backend, frontend, data science, and ML engineering, focusing on measurable outcomes like reducing fraud losses and monitoring costs per member.
Manage end-to-end model lifecycle, scale agentic AI in regulated workflows, and unify global market payment flows as shared platform capabilities.
Proven leadership in engineering organizations within fraud, financial crime, risk, or real-time decisioning domains.
Experience deploying machine learning models from development to production at scale with ongoing performance management.
Experience working in regulated environments collaborating with second line risk, compliance, and regulatory bodies.
Work Experience Required: Not explicitly mentioned in the JD.
Strong strategic and operational experience in engineering complex platforms that balance regulatory compliance with real-time risk detection and operational efficiency.
Ability to lead and align distributed, multi-market teams and cross-functional stakeholders behind a unified roadmap and operating model.
Experience integrating AI or agentic systems in regulated workflows with governance and human oversight considerations.