Technical Fraud Analyst - Strategic Data Solutions

Summary

The Strategic Data Solutions (SDS) team is looking for an exceptional and experienced fraud analyst who is 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 your 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

Minimum Qualifications

BS/BA or equivalent experience in relevant field
SQL proficiency with the ability to query large, complex datasets to identify anomalies, patterns, and fraudulent behavior
Proven excellence in investigating adversarial trends, identifying behavior patterns, and responding with the appropriate actions

Preferred 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 Python. Prior experience a plus.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.