AML Models Specialist

Summary :

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. 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.

Required Skills :

AML Models Specialist Responsibilities :

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

Minimum Qualifications :

Minimum Qualifications :

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

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

Experience leading and execution cross-functional projects to completion

Experienced with analytical thinking and documentation

Experienced with problem solving and communication

Effectively balance multiple competing priorities in a highly dynamic environment

Public Compensation :

$143,000 / year to $200,000 / year + bonus + equity + benefits

Industry : Internet

Equal Opportunity :

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.