Fraud Analyst - Apple Pay - San Diego
San Diego,California,United States
Software and Services
+ Strong proficiency in SQL and Python
+ Knowledge of and past experience with visualization tools
+ Adept at identifying risk or fraud trends and quickly developing solutions to mitigate
+ Strong experience in payment processing operations and functions, business analytics, and operational health with an emphasis on customer experience
+ Excellent verbal and written presentation skills with the ability to communicate at all organizational levels
+ Able to identify the root cause of problems and identify, propose, and recommend innovative solutions to diverse partners
+ Proficiency with working with large datasets
+ Consistent record of operating autonomously across multiple teams and in a matrix organization
+ Collaborative, flexible and open working style, with an ability to quickly establish trust and credibility
+ Experience in designing useful and actionable reporting
In this role, it is crucial that you take a role in improving how features are built, develop reporting requirements and executed on the data analytics, data services and infrastructure team. You will work cross-functionally with a variety of internal groups as well as with external partners, to improve the quality of our services and efficiency and scalability of our operations. Drive all aspects of the software development process: define requirements, scope work, develop a plan, generate a schedule, execute, and ship Understand and work on projects with multi-functional schedules, across Apple groups (e.g. client teams, data science teams, business teams), and the backend reporting systems and business intelligence visualization and analysis tools Work cross-functionally across Apple to use the collective skills and intelligence of our people. Work closely with legal, privacy and security teams to design and implement awesome solutions. Connect with every level of our organization, from individual contributors to executives. Identify market opportunities and define product vision and strategy.
**Education & Experience**
Bachelor’s degree (or equivalent) Master’s or MBA a plus
+ High degree of proficiency with Excel and Keynote
+ Experience in SQL, Teradata, Hadoop, Tableau and Python
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