채용
Benefits & Perks
•Wellness benefits
•Learning and development stipend
•Annual team offsites
•Flexible PTO policy
•Parental leave program
Required Skills
Airflow
TensorFlow
Apache Spark
As a member of the Meta Fin Tech 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.
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:
- 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
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 Whats App 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.
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@meta.com.
$147,000/year to $210,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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