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Meta FinTech Compliance (MFTC) Anti-Money Laundering (AML) Models & Rules Team needs to design, develop, validate, and maintain automated controls to mitigate AML risks across Meta's Family of Apps and payments products, ensuring compliance with regulatory obligations and protecting platforms from abuse.

Requirements

• Expertise in SQL/Python and handling large-scale datasets to effectively develop and assess automated AML controls
• Practical experience with and understanding of Machine Learning in AML technology
• Expertise in the understanding of the AML landscape, risks, and requirements as it relates to AML technology

Responsibilities

• Drive the end-to-end automated control delivery process to include design, development, validation, implementation, ongoing monitoring, and ongoing maintenance
• Identifying and understanding inherent AML risks with Meta’s payments products
• Deriving Business Requirements and Technical Requirements to sufficiently and precisely mitigate inherent AML products risks
• Collaborating effectively with cross-functional partners to complete the end-to-end automated control delivery process
• Identify and propose modifications to address new/emerging patterns, risks, and external factors that may impact the productivity of automated controls
• Routinely assess opportunities and propose changes to enhance control effectiveness and efficiency
• Execute threshold tuning exercises based on statistical quantitative analysis and supporting testing to ensure controls are operating efficiently and effectively

Other

• 8+ years of experience in AML Program and automated control development, expansion, and maintenance at a Financial Institution, FinTech, MSB, or Consulting Firm
• Bachelor’s degree, Advanced degree/certification (MS/MA/CAMS/CFE) or equivalent practical experience
• Experience leading and execution cross-functional projects to completion
• Experienced with analytical thinking and documentation
• Experienced with problem solving and communication