AML (Anti-Money Laundering) Compliance Strategy Specialist - USDS
Responsibilities
About the Team
USDS Financial Crimes Compliance is responsible for overseeing and operationalizing all aspects related to Anti-Money Laundering (AML) and sanctions compliance activities related to TikTok USDS. Collaborating cross-functionally with stakeholders across the U.S. and globally, we address complex and cutting-edge challenges, which include the identification of money-laundering, terrorist financing and sanction violations. We seek a highly motivated, experienced, and dynamic professional to join our team.
Responsibilities
- Lead the assessment, support, and optimization of data analytics and performance for our core financial crime systems. This involves close collaboration with data science and engineering teams to evaluate system features, data feeds, and usage, identifying implementation gaps, necessary controls, and ensuring alignment with our risk appetite.
- Validate new or updated technical controls during system changes, ensuring that automated features meet regulatory specifications and effectively replace or enhance existing manual controls before deployment.
- Manage and perform deep-dive investigations and exploratory data analysis to uncover emerging threats and anomalies, liaise with compliance, legal, and business teams to gather intelligence and ensure financial crime controls are aligned with organizational priorities.
- Document the methodology for customer, geography, and product risk which address money laundering, sanctions and other financial crime risks associated with our products along with the scoring process/rationale of risk and control.
- Translates complex business and regulatory objectives into detailed Business Requirements Documents (BRDs) and acts as the vital link between stakeholders and engineering teams.
- Review functional and technical specifications and success metrics to ensure technical roadmaps are precisely aligned with strategic goals and FCC standards.
- Maintain and enhance assigned FCC systems and controls, leveraging deep technical expertise to proactively anticipate issues, develop innovative improvements, and ensure robust system stability and efficiency.
- Drive all aspects of data and functional testing for AML and Sanctions monitoring systems including User Acceptance Testing (UAT) for new features/enhancements.
- Continuously monitor and rigorously assess the performance of AML and Sanctions systems using advanced data analytics tools, contributing critical insights to key Management Information (MI) reports.
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- Develop and lead impactful analysis sessions for technology changes, validate the accuracy of operational procedures and controls, and spearhead the development of Compliance dashboards. Effectively present complex findings and strategic recommendations to diverse stakeholders.
- Perform special projects and additional duties and responsibilities as required.
Qualifications
Minimum Qualifications
- Bachelor's degree in Computer Science, Mathematics, Finance, or another quantitative field.
- 5+ years of hands-on experience supporting Anti-Money Laundering (AML) systems within financial crime compliance programs.
- Proven proficiency with data querying and analysis tools including Hive, SQL, Python, and business intelligence platforms like Tableau.
- Strong familiarity with financial crime industry practices and up-to-date knowledge of fraud and Anti-Money Laundering typologies.
- Excellent written and oral communication skills, with the ability to articulate complex technical concepts clearly to stakeholders with varying analytic skills and knowledge levels.
Preferred Qualifications
- Postgraduate degree (Master's or PhD) in Computer Science, Mathematics, Finance, or a related quantitative field along with 5+ years of progressive experience supporting and optimizing Anti-Money Laundering systems in a dynamic financial services or technology environment.
- Demonstrated experience in leading complex data mining, data scrubbing, and data analysis projects.
- Direct experience with major AML vendor platforms (e.g., Actimize, FICO, Oracle Mantas) and their specific configuration, scenario logic, and data models along with relevant Anti-Money Laundering certification, such as Certified Anti-Money Laundering Specialist (CAMS), or other globally recognized credentials focused on combating financial crime.
- Experience with new system implementations, including leading User Acceptance Testing (UAT), comprehensive data testing, impact assessments, and model validations.
- Familiarity with applying statistical modeling or machine learning techniques to enhance financial crime detection along with Proven ability to influence and drive consensus among cross-functional teams and leadership.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $118800 - $269800 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
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