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AML Models Specialist

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Meta

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Location:
United States , Los Angeles

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

147000.00 - 210000.00 USD / Year
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Job Description:

As a member of the Meta FinTech Compliance (MFTC) Anti-Money Laundering (AML) Models & Rules Team, you will drive efforts related to designing, developing, validating, and maintaining automated controls (Models, Rules, Triggers) to effectively mitigate inherent AML risks across our Family of Apps and suite of payments products. You will work collaboratively with a dynamic group of cross-functional stakeholders including, but not limited to, Engineering, Legal, Product, Integrity, and other Compliance functions. You will leverage Meta’s vast resources to create innovative, scalable, and highly effective AML technical solutions, along with supporting processes and governance to align with regulatory obligations set forth by all relevant Anti-Money Laundering/Counter-Terrorist Financing (AML/CTF) laws, protect Meta’s platforms from being abused by bad actors, and continue to enable and foster a safe environment for our users.

Job Responsibility:

  • Drive the end-to-end automated control delivery process to include design, development, validation, implementation, ongoing monitoring, and ongoing maintenance
  • Enable new product launches and AML coverage expansion by: 1.) Identifying and understanding inherent AML risks with Meta’s payments products 2.) Deriving Business Requirements and Technical Requirements to sufficiently and precisely mitigate inherent AML products risks 3.) Collaborating effectively with cross-functional partners to complete the end-to-end automated control delivery process
  • Support and direct the continuous improvement of existing automated AML controls through: 1.) Identify and propose modifications to address new/emerging patterns, risks, and external factors that may impact the productivity of automated controls 2.) Routinely assess opportunities and propose changes to enhance control effectiveness and efficiency 3.) Execute threshold tuning exercises based on statistical quantitative analysis and supporting testing to ensure controls are operating efficiently and effectively
  • Proactively monitoring trends and patterns across the AML control suite to identify and propose potential solutions to mitigate risks
  • Collaborate with the Compliance Governance and Issues Management teams to ensure the automated controls maintain compliance and are constantly aligned with the relevant policies, procedures, and processes
  • Create and maintain documentation to clearly explain and bring clarity to how an AML control was designed, validated, implemented, and maintained
  • Interface with and lead interactions with examiners, regulators, auditors, and other third parties
  • Brief leadership on high priority initiatives by clearly summarizing and communicating the impact to Meta’s AML program, current status of the initiative, and planned course of action
  • Stay up to date with AML regulations, guidelines, and risks and propose controls enhancements

Requirements:

  • 8+ years of experience in AML Program and automated control development, expansion, and maintenance
  • Bachelor’s degree, Advanced degree/certification (MS/MA/CAMS/CFE) or equivalent practical experience
  • 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 and experience with understanding of the AML landscape, risks, and requirements as it relates to AML technology
  • Experience leading and execution cross-functional projects to completion
  • Experience with analytical thinking and documentation
  • Experience with problem solving and communication
  • Effectively balance multiple competing priorities in a highly dynamic environment
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
February 04, 2026

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