Fraud Analytics Lead: Risk Insights & Impact

Early Warning; Scottsdale (AZ); Hybrid; USD 104,000 - 156,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) match

Paid time off

Paid parental leave

Maven Family Planning

Job summary

Early Warning is seeking a seasoned fraud analytics professional to identify root causes of fraud events and deliver data-driven insights. You will analyze network activity, translate findings into actionable recommendations, and collaborate with financial institutions to reduce risk.

Hybrid work model applies in the Phoenix/Scottsdale area. 5+ years in data analytics with SAS/SQL/Python is highly preferred; strong communication skills are essential.

Qualifications

• Bachelor's degree required.
• 5+ years of advanced data analytics experience.
• 3+ years with SAS/SQL/R/Python or comparable analytics tools.
• Strong ability to translate concepts into actionable analyses.
• Excellent written and verbal communication skills.

Responsibilities

• Execute analysis to identify and categorize root causes of fraud events.
• Develop fraud analyses to quickly source and deduce root causes across the network.
• Articulate insights to stakeholders within the organization and partner institutions.
• Identify exposed credentials and payment data; assess risk and apply remediation.
• Support protections of systems and data integrity.

Skills

Advanced data analytics

SAS/SQL/R/Python

Excellent communication

Digital banking/payments experience

Root cause analysis

Education

Bachelor's Degree

Tools

SAS

SQL

Python

R

Job description

Early Warning is seeking a seasoned fraud analytics professional to identify root causes of fraud events and deliver data-driven insights. You will analyze network activity, translate findings into actionable recommendations, and collaborate with financial institutions to reduce risk.

Hybrid work model applies in the Phoenix/Scottsdale area. 5+ years in data analytics with SAS/SQL/Python is highly preferred; strong communication skills are essential.