Analyze and interoperate of new sources of data to identify and investigate activity that could pose a risk of money laundering or other financial crimes in support of all legal and regulatory requirements for APPLE PAYMENTS SERVICES LLC.
Requirements
- Utilizing Statistical and Machine Learning methodology to develop robust models.
- Utilizing programming languages Python, PySpark, SQL, and R to build and develop data platforms.
- Applying model risk management and model audit practices to ensure regulatory compliance.
- Utilizing data science to build and derive insights from data, build predictive models, and implement data-driven strategies.
- Utilizing Tableau, ArcGIS, Streamlit, and Python to create interactive visualizations of data.
- Perform ad-hoc and reoccurring statistical analyses using Python.
- Responsible for statistical analysis including machine learning and AI techniques to support compliance of financial products with laws and regulations.
Responsibilities
- Analyze and interoperate of new sources of data.
- Develop and enhance rules and models while creating reports, fulfilling data requests, designing monitoring scenarios, and performing ongoing analysis to support compliance initiatives.
- Perform ad-hoc and reoccurring statistical analyses using Python.
- Work with data warehouse architects in SQL and software developers to generate seamless business intelligence solutions for business partners.
- Responsible for statistical analysis including machine learning and AI techniques to support compliance of financial products with laws and regulations.
- Utilizing Statistical and Machine Learning methodology to develop robust models.
- Utilizing data science to build and derive insights from data, build predictive models, and implement data-driven strategies.
Other
- 20% domestic travel required to other Apple sites.
- 40 hours/week.
- Master’s degree or foreign equivalent in Data Science, Applied Statistics or related field and 2 years of experience in the job offered or related occupation.
- Utilizing project management skills to manage the lifecycle of a project to drive team strategies.
