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Compliance Technology Program Lead

Block · New York, NY
Full-time30305 Risk - Compliance - Cash AppFinance & Insurance$187,000–$253,000/yr
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About the Compliance Technology Program Lead role

Compliance Technology Program Lead positions focus on delivering results in their domain. This page aggregates open Compliance Technology Program Lead roles and what employers typically expect.

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role Block is seeking a Compliance Technology Program Lead to ensure our Machine Learning and Heuristic detection models — and the data infrastructure that feeds them — are fit for purpose, for our fiat and virtual currency products. This role sits at the intersection of compliance, machine learning, and AI tooling: you will use modern intelligence tools, including Claude and other LLM-based agents, to automate significant portions of oversight, monitoring, and documentation work — turning a traditionally manual, documentation-heavy function into a scalable, defensible program. You will partner with Machine Learning, Engineering and BSA/AML Policy Teams to provide end-to-end technical oversight, effective challenge and ongoing monitoring throughout the model development lifecycle. You Will Build with Modern AI Tools Use AI agents (Claude and similar LLM-based tools) to build automation that scales oversight, monitoring, and documentation work — including drafting requirements, exam-ready documentation, data quality monitoring and ongoing model performance reporting. Design human-in-the-loop checkpoints so that automated outputs remain defensible to regulators and independent monitors. Establish and maintain model and data governance frameworks aligned with SR 11-7, SR 26-2, and OCC 2011-12 so engineering teams can ship defensible models at pace. Provide effective challenge throughout the model development lifecycle and partner with the BSA/AML Policy Team and CAX stakeholders to ensure documentation is exam-ready. Lead Ongoing Monitoring Lead the design and development of real-time dashboards to monitor model health, including input data monitoring and ongoing model performance. Set standards for threshold tuning and ongoing Below the Line (BTL) testing controls. Establish frameworks and triggers for identifying when model performance is degrading and requires tuning or deprecation. Partner during subsequent tuning exercises and ensure changes are within risk appetite and documented defensibly. Provide End-to-End Oversight of Model Development Oversee Transaction Monitoring models, including heuristic and rules-based detection logic, threshold settings (below the line testing), and the data pipelines that feed alerts. Oversee blockchain analytics and screening tools (TRM, Chainalysis), with attention to typology coverage, alert quality, and integration with downstream investigations. Oversee Sanctions Screening models (LexisNexis), including list management, fuzzy-match tuning, and false-positive reduction. Oversee Customer Risk Scoring models, including segmentation logic, periodic recalibration, and effective challenge of risk drivers. Oversee the design and validation of AI-driven case resolution — LLM-based and ML-based models that triage, enrich, or disposition alerts — ensuring decisions are explainable, auditable, and defensible to regulators. You Have 7+ years of experience in compliance technology at regulated financial institutions, or as a consultant working with FIs. Hands-on experience building with modern AI tools — including Claude, GPT, or comparable LLM-based agents — and a track record of using them to automate work in production. This includes prompt engineering, designing agentic workflows, and integrating AI into operational processes. Experience with both Machine Learning…

Salary estimate

$187,000 – $253,000/yr
Provided by the employer.

Skills for this role

Machine LearningLLMSecurityAutomation

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About Block

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