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 Anti-Money Laundering (AML) and Sanctions Compliance for TikTok USDS, collaborating with stakeholders across the U.S. and globally to tackle money laundering, terrorist financing, and sanctions violations at scale. We seek a highly motivated, experienced, and dynamic professional to join our team and contribute 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 core financial crime systems. Collaborate with data science and engineering teams to evaluate system features, data feeds, usage, identify implementation gaps, necessary controls, and ensure alignment with our risk appetite. Maintain and enhance assigned FCC systems, leveraging technical expertise to proactively anticipate issues, develop 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. Drive all aspects of data and functional testing for AML and Sanctions monitoring systems, with a focus on effective tuning and adherence to global standards. Continuously monitor and assess the performance of AML and Sanctions systems using advanced data analytics tools, contributing insights to key Management Information (MI) reports. Lead the end-to-end design, testing, and tuning of new Transaction Monitoring scenarios; evaluate and improve existing scenarios to ensure accurate targeting and effective alerts. Develop and lead analysis sessions for technology changes, ensure accuracy of procedures and controls, and lead the development of Compliance dashboards; present findings and recommendations to stakeholders. Perform special projects and additional duties as required. Qualifications
Minimum Qualifications Bachelor's degree in Computer Science, Mathematics, Finance, or another quantitative field. 5+ years of hands-on experience supporting AML systems within financial crime compliance programs. Proficiency with data querying and analysis tools including Hive, SQL, Python, and BI platforms like Tableau. Strong familiarity with financial crime industry practices and up-to-date knowledge of fraud and AML typologies. Excellent written and communication skills, with the ability to articulate complex technical concepts to stakeholders with varying analytic skills. Preferred Qualifications Postgraduate degree (Master's or PhD) in a related quantitative field. Extensive experience supporting and optimizing AML systems in dynamic environments; experience leading complex data mining and analysis projects. Direct experience with major AML vendor platforms (e.g., Actimize, FICO, Oracle Mantas) and related configuration and data models; relevant AML certifications (e.g., CAMS). Experience with system implementations, UAT, data testing, impact assessments, and model validations. Familiarity with applying statistical modeling or ML techniques to enhance financial crime detection and ability to influence cross-functional teams. About USDS
TikTok is the leading destination for short-form mobile video. U.S. Data Security (USDS) is a TikTok subsidiary in the U.S. focused on data protection and content assurance policies to keep U.S. users safe. Teams within USDS span Trust & Safety, Security & Privacy, Engineering, and more. Data Security Statement This role requires working with systems designed to protect sensitive data and information and may be subject to strict security screening. Why Join Us
We strive to do great things with great people. We lead with curiosity, humility, and impact in a growing tech company. We foster an "Always Day 1" mindset to achieve meaningful breakthroughs for our team and users. Diversity & Inclusion
TikTok is committed to an inclusive environment where employees are valued for their unique perspectives and experiences. We celebrate diverse voices and aim to reflect the communities we reach. USDS Reasonable Accommodation USDS provides reasonable accommodations in recruitment processes for candidates with disabilities or other protected considerations. If you need assistance, please reach out using the provided contact resource.
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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 Anti-Money Laundering (AML) and Sanctions Compliance for TikTok USDS, collaborating with stakeholders across the U.S. and globally to tackle money laundering, terrorist financing, and sanctions violations at scale. We seek a highly motivated, experienced, and dynamic professional to join our team and contribute 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 core financial crime systems. Collaborate with data science and engineering teams to evaluate system features, data feeds, usage, identify implementation gaps, necessary controls, and ensure alignment with our risk appetite. Maintain and enhance assigned FCC systems, leveraging technical expertise to proactively anticipate issues, develop 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. Drive all aspects of data and functional testing for AML and Sanctions monitoring systems, with a focus on effective tuning and adherence to global standards. Continuously monitor and assess the performance of AML and Sanctions systems using advanced data analytics tools, contributing insights to key Management Information (MI) reports. Lead the end-to-end design, testing, and tuning of new Transaction Monitoring scenarios; evaluate and improve existing scenarios to ensure accurate targeting and effective alerts. Develop and lead analysis sessions for technology changes, ensure accuracy of procedures and controls, and lead the development of Compliance dashboards; present findings and recommendations to stakeholders. Perform special projects and additional duties as required. Qualifications
Minimum Qualifications Bachelor's degree in Computer Science, Mathematics, Finance, or another quantitative field. 5+ years of hands-on experience supporting AML systems within financial crime compliance programs. Proficiency with data querying and analysis tools including Hive, SQL, Python, and BI platforms like Tableau. Strong familiarity with financial crime industry practices and up-to-date knowledge of fraud and AML typologies. Excellent written and communication skills, with the ability to articulate complex technical concepts to stakeholders with varying analytic skills. Preferred Qualifications Postgraduate degree (Master's or PhD) in a related quantitative field. Extensive experience supporting and optimizing AML systems in dynamic environments; experience leading complex data mining and analysis projects. Direct experience with major AML vendor platforms (e.g., Actimize, FICO, Oracle Mantas) and related configuration and data models; relevant AML certifications (e.g., CAMS). Experience with system implementations, UAT, data testing, impact assessments, and model validations. Familiarity with applying statistical modeling or ML techniques to enhance financial crime detection and ability to influence cross-functional teams. About USDS
TikTok is the leading destination for short-form mobile video. U.S. Data Security (USDS) is a TikTok subsidiary in the U.S. focused on data protection and content assurance policies to keep U.S. users safe. Teams within USDS span Trust & Safety, Security & Privacy, Engineering, and more. Data Security Statement This role requires working with systems designed to protect sensitive data and information and may be subject to strict security screening. Why Join Us
We strive to do great things with great people. We lead with curiosity, humility, and impact in a growing tech company. We foster an "Always Day 1" mindset to achieve meaningful breakthroughs for our team and users. Diversity & Inclusion
TikTok is committed to an inclusive environment where employees are valued for their unique perspectives and experiences. We celebrate diverse voices and aim to reflect the communities we reach. USDS Reasonable Accommodation USDS provides reasonable accommodations in recruitment processes for candidates with disabilities or other protected considerations. If you need assistance, please reach out using the provided contact resource.
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