Fraud Analyst - Digital and Authentication Analytics

$76,516 - $96,730/Yr

Regions Financial - Nashville, TN

Full-time - Entry Level

Nashville, TN

Credit Intermediation and Related Activities

About the position

The Fraud Analyst - Digital and Authentication Analytics role at Regions involves transforming data into actionable insights to support operational and decision-making processes. This position focuses on monitoring digital authentication controls, investigating fraud patterns, and developing strategies to mitigate emerging fraud risks. The analyst will work closely with senior analysts and managers to deliver data-driven insights and ensure compliance with data governance requirements.

Responsibilities

• Modifies reports that are valuable, readable, and presentable to stakeholders
• Assists in the preparation of visual reports/presentations to present analysis to management
• Interprets, analyzes, and provides insights to teams and managers to determine operational impact, trends, and opportunities
• Performs data analysis to help achieve data automation
• Creates and maintains databases to help classify & store information
• Completes day-to-day deliverables and ad-hoc data reports to support business needs/projects and answer data related questions
• Ensures compliance by performing quality data audits, mining, and management
• Monitors data and analytics trends and seeks opportunities for continuous improvement
• May offer guidance to junior analysts, ensuring proper training and tools are provided
• Partners with the centralized Data Governance team to implement and support data governance and data quality requirements

Requirements

• Master's degree in Business, Computer Science, Information Systems, Finance, Statistics, or related field and two (2) years of experience in a data analytics or related role
• Or, a Bachelor's degree in Business, Computer Science, Information Systems, Finance, Statistics, or related field and four (4) years of experience in a data analytics or related role
• Experience utilizing analytical software such as Structured Query Language (SQL), Statistical Analysis System (SAS), SAS Enterprise Miner, and applicable Microsoft Office applications
• Working knowledge of business intelligence software (e.g. Tableau, Power BI)
• Demonstrated leadership capabilities
• Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook, etc.)
• Strong verbal, written communication, and organizational skills
• Strong work ethic and self-motivation
• Previous fraud experience is preferred for this role.

Nice-to-haves

• Experience in Tableau
• Experience in fraud detection and prevention

Benefits

• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid Vacation/Sick Time
• Disability Benefits
• Parental Leave
• Associate Volunteer Program