Fraud Data Analyst: AI-Driven Insights & Impact

q2ebanking; Cary (NC); Hybrid; USD 85,000 - 120,000; Full time

Benefits offered by this job

Hybrid work

Flexible time off

Career mentoring

Health benefits

Parental leave

Volunteer programs

Peer recognition

Job summary

Q2 is seeking a Data Analyst on the Fraud Intelligence team to develop a deep understanding of our customers and the fraud challenges they face. You will track trends in fraud cases, and partner with Product, Engineering, and Fraud Response to identify gaps and prioritize enhancements.

This dynamic role sits at the intersection of customers, business, and product development. You will collaborate with internal tooling and engineering to build protections while communicating findings to technical

Qualifications

• 5+ years of experience as an analyst (or similar).
• Experience using AI tools in your work.
• Statistical background and ability to draw sound conclusions from complex data.
• Familiarity with data visualization tools.
• Demonstrated ability to effectively communicate findings with technical and non-technical audiences.

Responsibilities

• Track trends in fraud cases and advise prioritization for product enhancements.
• Collaborate with Product, Engineering, and Fraud Response to close gaps in fraud tools.
• Build and deploy protective measures with internal tooling and engineering teams.

Skills

Data analysis

AI tools

Statistics

Data viz

Communication

Tools

Python

SQL

Job description

Q2 is seeking a Data Analyst on the Fraud Intelligence team to develop a deep understanding of our customers and the fraud challenges they face. You will track trends in fraud cases, and partner with Product, Engineering, and Fraud Response to identify gaps and prioritize enhancements.

This dynamic role sits at the intersection of customers, business, and product development. You will collaborate with internal tooling and engineering to build protections while communicating findings to technical