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Data Engineer, Financial Crimes - USDS
Team Intro
USDS Financial Crime Compliance is responsible for overseeing and operationalizing all aspects related to Anti-Money Laundering (AML) and Sanctions Compliance activities related to TikTok USDS's operations. 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.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires 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 the specific requirements may change at any time.
Position Overview
As a Data Engineer, you will play a crucial role in leveraging machine learning, analytics, and visualization techniques to enhance our organization's capabilities in detecting and preventing financial crimes. You will be responsible for analyzing large datasets, developing machine learning models, and creating visualizations to identify patterns, anomalies, and potential risks related to money laundering, fraud, and sanctions violations. This role offers an exciting opportunity to apply advanced technology solutions to combat financial crime and ensure regulatory compliance.
Responsibilities:
- The perfect candidate will leverage strong data infrastructure and architecture skills to design and maintain efficient scalable data systems, strong operational skills to drive efficiency and speed, and apply strategic vision and project management expertise to ensure timely execution of complex data engineering projects that improve FCC compliance processes
- Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis
- Design, implement, and operate large-scale end-to-end distributed systems to perform data discovery using scalable, reusable, and configurable frameworks / methodologies
- Define metrics and create / maintain dashboards for measuring and reporting key performance indicators
- Build and manage data inventories and data flow mappings by collecting and aggregating datasets from multiple data source systems
- Continuously improve the integrity of data pipelines to provide a comprehensive data service
- Build reliable and fault resilient data pipelines
USDS Financial Crime Compliance is responsible for overseeing and operationalizing all aspects related to Anti-Money Laundering (AML) and Sanctions Compliance activities related to TikTok USDS's operations. 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.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires 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 the specific requirements may change at any time.
Position Overview
As a Data Engineer, you will play a crucial role in leveraging machine learning, analytics, and visualization techniques to enhance our organization's capabilities in detecting and preventing financial crimes. You will be responsible for analyzing large datasets, developing machine learning models, and creating visualizations to identify patterns, anomalies, and potential risks related to money laundering, fraud, and sanctions violations. This role offers an exciting opportunity to apply advanced technology solutions to combat financial crime and ensure regulatory compliance.
Responsibilities:
- The perfect candidate will leverage strong data infrastructure and architecture skills to design and maintain efficient scalable data systems, strong operational skills to drive efficiency and speed, and apply strategic vision and project management expertise to ensure timely execution of complex data engineering projects that improve FCC compliance processes
- Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis
- Design, implement, and operate large-scale end-to-end distributed systems to perform data discovery using scalable, reusable, and configurable frameworks / methodologies
- Define metrics and create / maintain dashboards for measuring and reporting key performance indicators
- Build and manage data inventories and data flow mappings by collecting and aggregating datasets from multiple data source systems
- Continuously improve the integrity of data pipelines to provide a comprehensive data service
- Build reliable and fault resilient data pipelines