Fraud Data and Analytics Analyst (Fraud Analytics)

Location: Must be within a reasonable driving distance of Hoover, Alabama; Atlanta, Georgia; or Charlotte, North Carolina. Applicants must be currently authorized to work in the United States on a full-time basis.

Salary: $79,223–$100,070 USD annual target range; not incentive eligible.

Company

hirify.global provides banking services and fraud prevention operations.

What you will do

• Analyze fraud threats, determine how fraud was conducted, quantify losses, and recommend mitigation actions.
• Identify fraud savings opportunities and assess rule strategies for control enhancements.
• Monitor transactions, systems, merchants, and redemption activity for unusual or suspicious behavior.
• Prepare visual reports, presentations, dashboards, and ad-hoc analysis for management and stakeholders.
• Build and maintain databases, support data automation, and perform data audits, mining, and quality management.
• Partner with Data Governance and provide guidance to junior analysts while monitoring fraud and analytics best practices.

Requirements

• Master’s degree in Business, Computer Science, Information Systems, Finance, Statistics, Criminal Justice, Mathematics, Engineering, or a related field plus two years of experience in data analytics or a related role; or a bachelor’s degree in one of these fields plus four years of relevant experience.
• Advanced analytical skills and the ability to analyze large, complex datasets, trends, patterns, anomalies, KPIs, metrics, and business performance indicators.
• Advanced SQL skills for data extraction, transformation, validation, complex joins, CTEs, and performance optimization.
• Experience with data pipelines, transformations, cleansing, source systems, data lineage, refresh schedules, and dimensional modeling using fact and dimension tables.
• Ability to deploy code to production using Git and Harness Pipelines.
• Knowledge of banking and fraud processes, Microsoft Office, and strong verbal, written, organizational, and self-management skills.
• Must be authorized to work full-time in the United States; Regions will not sponsor work visas.

Nice to have

• Experience with SAS, Python, Ruby, R, MATLAB, Scala, Java, Power BI, Tableau, Snowflake, Hadoop, Hive, Impala, Spark, or Kafka.
• Experience in machine learning, deep learning, or artificial intelligence.
• Experience designing interactive dashboards, data storytelling, visualization design, and user-centered reporting.

Culture & Benefits

• Full-time exempt position; not eligible for overtime pay.
• Paid vacation and sick time, medical, dental, vision, disability, life insurance, parental leave, and employee assistance benefits.
• 401(k) with company match, health savings account, and flexible spending account.
• Associate volunteer program and a benefits package that may vary by plan terms.
• Relocation assistance is not provided; relocation expenses are the applicant’s responsibility.

Hiring process

• Applications are accepted electronically through the Regions career site for at least five business days after posting and may close earlier or remain open longer based on business needs.