TikTok
AML (Anti-Money Laundering) Senior Strategy Specialist - USDS
TikTok, San Jose, California, United States, 95199
2 weeks ago Be among the first 25 applicants
Responsibilities
About the Team
The USDS Financial Crime Compliance (FCC) team is at the forefront of safeguarding TikTok's operations against financial crime. We are responsible for overseeing and operationalizing all aspects of Anti-Money Laundering (AML) and Sanctions Compliance for TikTok USDS. Collaborating cross-functionally with stakeholders across the U.S. and globally, we tackle complex and cutting-edge challenges, including the identification of money laundering, terrorist financing, and sanctions violations at scale. We seek a highly motivated, experienced, and dynamic professional to join our team, contributing directly to the integrity and safety of our platform.
To foster strong collaboration and cross-functional partnerships, our organization currently operates on a hybrid work schedule requiring employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and specific requirements may evolve.
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.
Maintain and enhance assigned FCC systems, leveraging deep technical expertise to proactively anticipate issues, develop innovative improvements, and ensure robust system stability and efficiency.
Provide specialized systems expertise and support to internal clients, addressing ad-hoc reporting needs and ongoing system maintenance requirements effectively.
Drive all aspects of data and functional testing for AML and Sanctions monitoring systems, with a strong focus on effective tuning and adherence to global standards.
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.
Lead the end-to-end design, rigorous testing, and precise tuning of new Transaction Monitoring scenarios. Proactively evaluate and improve existing scenarios to ensure accurate behavioral targeting and the generation of highly effective alerts.
Develop and lead impactful analysis sessions for technology changes, ensure the accuracy and currency 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.
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 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.
Extensive 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; relevant AML certification (e.g., CAMS).
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; proven ability to influence and drive consensus among cross-functional teams and senior leadership.
About USDS
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S. This security-focused division provides governance for data protection policies and content assurance protocols to keep U.S. users safe. The teams within USDS span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA
Job Information
This description reflects the responsibilities and qualifications for the role. Salary ranges and benefits are provided as part of the job posting and may vary by location and experience.
Notes
We’re not including additional job postings, personal data, or unrelated content in this description.
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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.
Maintain and enhance assigned FCC systems, leveraging deep technical expertise to proactively anticipate issues, develop innovative improvements, and ensure robust system stability and efficiency.
Provide specialized systems expertise and support to internal clients, addressing ad-hoc reporting needs and ongoing system maintenance requirements effectively.
Drive all aspects of data and functional testing for AML and Sanctions monitoring systems, with a strong focus on effective tuning and adherence to global standards.
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.
Lead the end-to-end design, rigorous testing, and precise tuning of new Transaction Monitoring scenarios. Proactively evaluate and improve existing scenarios to ensure accurate behavioral targeting and the generation of highly effective alerts.
Develop and lead impactful analysis sessions for technology changes, ensure the accuracy and currency 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.
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 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.
Extensive 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; relevant AML certification (e.g., CAMS).
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; proven ability to influence and drive consensus among cross-functional teams and senior leadership.
About USDS
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S. This security-focused division provides governance for data protection policies and content assurance protocols to keep U.S. users safe. The teams within USDS span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA
Job Information
This description reflects the responsibilities and qualifications for the role. Salary ranges and benefits are provided as part of the job posting and may vary by location and experience.
Notes
We’re not including additional job postings, personal data, or unrelated content in this description.
#J-18808-Ljbffr