Meghan Rahman

Product & Regulatory Counsel @Block

Alameda, CA, US
MOBILE NUMBERS
+16•••••••93

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WORK HISTORY

Jan 2026 — Present

Product & Regulatory Counsel @Block

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EDUCATION

2000 — 2004

University of California, Berkeley

Bachelor of Arts (BA), Political Science and Government

2005 — 2008

Boston University School of Law

Juris Doctor

SKILLS

Corporate LawLitigationSecurities Regulation

ABOUT MEGHAN RAHMAN

Results-oriented legal professional with over 15 years of experience advising on complex regulatory,product, and litigation matters. Proven ability to lead and mentor legal teams, provide strategic guidance to executives, and navigate evolving legal landscapes in dynamic environments. Adept at risk assessment, developing scalable compliance processes, and fostering a strong culture of compliance.*Leadership Manage a team of regulatory counsel, ensuring consistent regulatory interpretation and application; guide strategy, priorities, and team development as part of Legal Leadership team*ProductProvide practical and strategic advice to business and legal stakeholders on regulatory and compliance topics related to existing and prospective products, partnerships, and acquisitions*RegulatoryMonitor and analyze proposed and enacted regulatory changes, proactively collaborating with cross-functional teams to implement necessary adjustments; represents company in responding to regulatory inquiries and examinations*ComplianceOversee consumer finance licensing strategy for existing and new areas of business; partner with the compliance team to enhance and scale the compliance program, including developing compliance policies and procedures, trainings, and managing internal/external audits*Consumer FinanceDeep understanding of consumer finance legal and industry landscape; advisor to banks and fintechs; experience with credit cards, personal and auto loans, earned wage access, mortgage, loan servicing and collections, deposit products, bank partnerships, and usage-based insurance.*AI/MLAnalyze regulatory issues related to use of consumer-facing GenAI products, machine learning recommendation systems, training datasets and development of AI/ML models

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