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Fraud Data and Analytics Analyst - Card Fraud

Job in Hoover, Jefferson County, Alabama, USA
Listing for: Regions Financial Corporation
Full Time position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Data Analyst, Information Security & Data Protection, Data Science Manager
Salary/Wage Range or Industry Benchmark: 59466 - 100000 USD Yearly USD 59466.00 100000.00 YEAR
Job Description & How to Apply Below

Thank you for your interest in a career  Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.

Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law.

Such information will be stored in accordance with regulatory requirements and in conjunction with Regions’ Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system.

Job Description:

At Regions, the Fraud Data and Analytics Analysttransformsdata 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.

Primary 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

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

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…
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