AML Models Analytics Lead

As a member of the Meta Payments Compliance Team, you will drive efforts related to both improving and developing AML models for new products /to address gaps/risks identified across all AMLmodels ( TM AML , ERR, CRR) in the Payments Compliance area. You will work collaboratively with a dynamic group of cross-functional stakeholders including but not limited to Legal, Product, Engineering, Finance and Marketing. You may have side projects to help create innovative scalable AML compliance systems and processes to harness the "transactional" power of Meta, Instagram, WhatsApp, Messenger and other Meta companies. You will help Meta Payments ensure that its compliance policies, internal controls and systems help Meta in its mission to make the world more open and connected. Meta Payments Inc. is committed to complying with Anti-Money Laundering/Counter-Terrorist Financing (“AML”/“CTF”) obligations imposed by federal, state, foreign, and other applicable laws. These governing laws and regulations may include without limitation the following: the Bank Secrecy Act (“BSA”); the USA PATRIOT Act of 2001 (“Patriot Act”); the rules and regulations overseen by the United States Department of the Treasury’s Office of Foreign Assets Control (“OFAC”); and other requirements applicable to registered money services businesses (“MSBs”). Meta Payments maintains a risk-based Policy and Program designed to ensure compliance by Meta Payments and its affiliates with governing law.

AML Models Analytics Lead Responsibilities:

• Drive end-to-end design and implementation process to develop AML rules/models.
• Support new product launches and cross-functional initiatives by: 1) Understanding product risks and regulatory requirements 2) Defining model controls requirements to mitigate the risk 3) Driving the model controls implementation through collaboration with XFN partners across product, engineering, Compliance, Data and Operations teams to build effective AML Models rules across payments products
• Support continuous improvement of AML model through: 1) Monitor alert trends and statistics 2) Recognize new/emerging patterns and risks Identify existing gaps and risks 3) Identify opportunities for greater effectiveness and efficiency 4) Propose changes to existing models or new models to expand coverage 5) Drive the implementation of changes for continuous improvement
• Recommend threshold based on statistical quantitative analysis and ATL /BTL testing
• Participate actively with Governance and Oversight teams to and ensure Model related efforts are in compliance with the governance framework
• Provide periodic and thorough updates related to ongoing efforts , trends, and compliance issues with Leadership
• Work with competing priorities & cross functional teams, and is able to work with minimal guidance
• Clearly summarize, document, and communicate findings and recommended action items in a timely manner to compliance management and/or other internal stakeholders when appropriate

Minimum Qualifications:

• 1. Bachelor’s degree & equivalent experience in Compliance at a financial /payments/e-commerce /money transfer services company
• 4 years of experience in Transaction Monitoring program development, implementation and validating systems/controls
• Experience in statistics and SQL/python to effectively assess and develop AML Transaction requirements
• Experience executing projects requiring cross-organizational alignment and prioritization

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.