Fraud Data and Analytics Analyst - Card Fraud

Regions•Hoover, AL

21h•$59,466 - $78,300•Remote

About The Position

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.

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
Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook, etc.)
Strong work ethic and self-motivation

Nice To Haves

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
Analytical skills
Basic knowledge of the banking industry
Demonstrated leadership capabilities
General knowledge of fraud processes
Strong verbal, written communication, and organizational skills
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
Experience using LLMs to streamline processes

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