Fraud Data and Analytics Analyst - Card Fraud

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At Regions, the Fraud Data and Analytics Analyst transforms data into a meaningful format for operational and/or decision-making purposes, with a specialization in analyzing fraud-based threats. Focusing on day-to-day deliverables, this role works with senior analysts and managers to gather and interpret data for leaders to make data-driven decisions in support of fraud detection efforts and providing insights to protect the bank from financial loss.

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 This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

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 Preferences Experience utilizing analytical software and programming such as Structured Query Language (SQL), Statistical Analysis System (SAS), Python, Ruby, R,