Fraud Data and Analytics Analyst - Card Fraud

Regions Bank is a financial services company seeking a Fraud Data and Analytics Analyst focused on card fraud. The role analyzes fraud threats, identifies savings opportunities, monitors suspicious activity, prepares reports, and provides recommendations and insights to support fraud detection and loss mitigation.

Responsibilities:

• Performs in-depth analysis and interpretation of fraud-based threats impacting the bank by gathering and analyzing data, providing reports from the analysis, determining how fraud was conducted, quantifying losses, and providing recommendations to management to address the threat and mitigate losses
• Identifies fraud savings opportunities through net loss or operational efficiency / effectiveness
• Assesses effectiveness of current rule strategies and performs analysis to drive recommendations for enhancements
• Develops and executes transaction and system monitoring for unusual and/or suspicious merchants and other redemption activities
• Assists in preparing 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 and 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
• Partners with the centralized Data Governance team to implement and support data governance and data quality requirements
• Partners with the Model Governance team to support model governance activities including ongoing monitoring
• Stays abreast of best practices and fraud trends to optimize and refine controls used to detect fraudulent activity

Requirements:

• Master's degree in Business, Computer Science, Information Systems, Finance, Statistics, Criminal Justice, Mathematics, Engineering, or related field
• Or Bachelor's degree in Business, Computer Science, Information Systems, Finance, Statistics, Criminal Justice, Mathematics, Engineering, or related field and two (2) years of experience in a data analytics or related role
• Analytical skills
• Basic knowledge of the banking industry
• Demonstrated leadership capabilities
• General knowledge of fraud processes
• Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook, etc.)
• Strong verbal, written communication, and organizational skills
• Strong work ethic and self-motivation
• Experience working on an analytics team in a data-driven environment
• Experience analyzing data associated with card authorizations
• Experience in a data analysis role on a Fraud or Fraud Analytics team
• Applicants for this position must be currently authorized to work in the United States on a full-time basis
• Experience utilizing analytical software and programming such as Structured Query Language (SQL), Statistical Analysis System (SAS), Python, Ruby, R, MATLAB, Scala, or Java
• Working knowledge of business intelligence software (e.g. Tableau, Power BI)
• Experience in Big Data Technologies like Snowflake, Hadoop, Hive, Impala, Spark, or Kafka
• Experience in Machine Learning, Deep Learning, or Artificial Intelligence
• Experience using LLMs to streamline processes