Technical Fraud Analyst - Strategic Data Solutions

Apple Inc.; Austin (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Apple Inc. is seeking an experienced Technical Fraud Analyst for the Strategic Data Solutions team in Austin, Texas.

The role focuses on combatting fraud, waste and abuse through collaboration with data scientists and business stakeholders, leveraging analytics to identify and mitigate fraud across physical and digital goods. The analyst will track metrics, identify fraud patterns, and communicate actionable recommendations to leadership while supporting the design of analytic solutions and new

Qualifications

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

Responsibilities

• 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

Skills

SQL proficiency

Fraud pattern analysis

Storytelling with data

Cross-functional collaboration

Ambiguity tolerance

Creative problem solving

Education

BS/BA or equivalent experience

Tools

Python

Job description

Technical Fraud Analyst - Strategic Data Solutions

Austin, Texas, United States Corporate Functions

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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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Apple accepts applications to this posting on an ongoing basis.