Technical Fraud Analyst – Strategic Data Solutions

Summary

Posted:Apr 09, 2025

Weekly Hours:40

Role Number:200597602

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Apple’s Strategic Data Solutions (SDS) team is looking for exceptional and experienced fraud analysts who are passionate about combating fraud, waste & abuse through close collaboration with our highly skilled Data Scientists. As a Technical Fraud Analyst, you’ll have solid business acumen in e-commerce fraud mitigation, a natural curiosity to dig when you see something, and the ability to effectively communicate with their peers and leadership. You’ll enjoy and have experience analyzing complex fraud scenarios, using data from both internal and external sources. You’ll also be skilled at interpreting data and providing recommendations and/or driving action across your team based on your findings. In this role, you’ll combine your knowledge of fraud mitigation and market landscape with data science techniques/toolsets that you will learn in order to approach fraud mitigation in a new and exciting way. Your work may support physical goods or digital goods, or both areas as needed.

Description

• Track operational and business metrics to align with business goals and strategies • Perform analyses to identify fraud patterns • Communicate findings among team and leadership as well as providing recommendations and priority among open tasks • Decision orders in mass or individually as demanded by current business needs • Support discovery of new business problems and contribute to design of analytic solutions • Ideate and recommend new and innovative ideas to support fraud mitigation improvements • Work closely with internal partners on critical issues, ad hoc or reoccurring analyses as required

Minimum Qualifications

• Demonstrable ability to develop cross functional partnerships
• Tells meaningful stories and identifies solutions based on data
• Demonstrates a positive can-do attitude, works efficiently in a team centric, performance-based environment or alone if tasks require it
• Is comfortable dealing with ambiguity
• Ability to think creatively and approach problems flexibly
• Has strong organizational skills with an ability to prioritize and balance multiple activities at once
• Demonstrates a willingness to learn big data systems and programming languages such as SQL or Python. Prior experience a plus.

Preferred Qualifications

• BS/BA or equivalent experience in relevant field
• Prior payment fraud experience in an e-commerce environment
• Proven excellence in investigating adversarial trends, identifying behavior patterns, and responding with the appropriate actions
• Superb communication (both written and verbal)