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Job Description
Structured overview of role & requirementsAbout This Role
Own and execute engineering strategy for KYX onboarding, continuous due diligence, and risk scoring, unifying previously separate lines.
Lead cross-functional, distributed teams (backend, frontend, data science, ML) across multiple global locations to deliver higher automated decisioning rates, improved due diligence quality, and reduced KYX cost per member.
Scale agentic AI in regulated workflows managing onboarding risk scoring through to screening and verification within agentic governance frameworks.
Minimum Requirements
Experience leading engineering organizations in identity, onboarding, fraud, financial crime, or regulated decisioning domains.
Proven track record delivering measurable outcomes in conversion, due diligence quality, unit economics, and workflow automation.
Experience deploying machine learning models from development into production at scale with ongoing performance ownership.
Experience working in regulated environments interfacing with operations, policy, risk, and compliance functions.
Ideal Candidate Profile
Senior engineering leader with demonstrated ability to unify distributed teams and distinct engineering lines behind a single strategic roadmap.
Experienced operating at intersection of regulated risk operations, product, and applied AI with focus on measurable impact and compliance.
Strong judgment on organization design, delivery, platform strategy, data architecture, and technical quality in global, multi-market environments.
