TikTok
AML (Anti-Money Laundering) Senior Strategy Specialist - USDS
TikTok, New York, New York, us, 10261
Overview
The USDS Financial Crime Compliance (FCC) team is at the forefront of safeguarding TikTok's operations against financial crime. We oversee and operationalize all aspects of Anti-Money Laundering (AML) and Sanctions Compliance for TikTok USDS, collaborating cross-functionally with stakeholders across the U.S. and globally to tackle complex challenges, including 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. 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. 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. 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 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 as well as 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, as well as relevant Anti-Money Laundering certification (e.g., CAMS) or other globally recognized credentials. 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 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-first division provides heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
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The USDS Financial Crime Compliance (FCC) team is at the forefront of safeguarding TikTok's operations against financial crime. We oversee and operationalize all aspects of Anti-Money Laundering (AML) and Sanctions Compliance for TikTok USDS, collaborating cross-functionally with stakeholders across the U.S. and globally to tackle complex challenges, including 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. 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. 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. 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 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 as well as 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, as well as relevant Anti-Money Laundering certification (e.g., CAMS) or other globally recognized credentials. 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 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-first division provides heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
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