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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote option, Hyderabad metro, and broad cross-functional engineering requirements increase candidate competition.
Strong domain bias toward fraud, financial-crime and regulated banking experience limits cross-industry transferability.
Requires specific fraud, regulated-environment and ML-in-production leadership, making shortlisting highly selective.
Job Description
Structured overview of role & requirementsAbout This Role
Lead engineering strategy and execution for Tide’s fraud, financial crime, and ongoing monitoring platforms.
Own end-to-end model lifecycle and scale agentic AI in regulated workflows to protect members and reduce fraud losses.
Build and align cross-functional teams and operating models to deliver measurable improvements in risk detection and operational efficiency.
Minimum Requirements
Experience leading engineering in fraud, financial crime, risk, or real-time decisioning domains.
Proven track record of deploying machine learning models at scale and owning production performance.
Experience working in regulated environments and collaborating with risk, compliance, and regulators.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strategic leader with ability to align engineering, risk, and operations around a unified roadmap and operating model.
Experienced in managing distributed, multi-market teams in a regulated fintech environment.
Demonstrated success in delivering outcomes that reduce fraud losses and lower monitoring costs through AI and platform innovation.