Fraud Analyst - Apple Pay - San Diego

San Diego, CA 92101
  • Job Code
    200263245
Summary

Summary

Posted: Jul 1, 2021

Role Number:200263245

Apple is a place where extraordinary people gather to do their best work. Together we craft products and experiences people once co...Summary

Summary

Posted: Jul 1, 2021

Role Number:200263245

Apple is a place where extraordinary people gather to do their best work. Together we craft products and experiences people once couldn't have imagined - and now can't imagine living without. If you're drawn by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job!

Apple Pay is the leading mobile payments platform for in-store and online payments launched by Apple five years ago. It is rapidly growing and recently launched Apple Card - a new kind of credit card, built by Apple. Apple Card is founded on simplicity, transparency and privacy, and crafted to help customers lead a healthier financial life. We are seeking an experienced payments and consumer cards risk analyst, to help drive and support the evolution of the business, working in lockstep with internal and external business partners.

Apple Pay Fraud analysts plays a meaningful role in collaborating with engineering and data scientists to design, instrument, maintain, build or improve business-critical datasets from a multitude of sources. They also have a deep background in fraud prevention, and will have experience in one of many different verticals: digital e-commerce, fraud detection and prevention, credit issuance or loss forecasting. It's a hands-on, cross-functional, highly-engaged job. A good Fraud Analyst is key to the success of the team and products. That vision always includes a deep dedication to strengthening Apple's privacy policy, one of Apple's core values

Key Qualifications

  • 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

Description

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

Additional Requirements

  • High degree of proficiency with Excel and Keynote
  • Experience in SQL, Teradata, Hadoop, Tableau and Python


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Fraud Analyst - Apple Pay - San Diego

Apple, Inc.
San Diego, CA 92101

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