Fraud Data and Analytics Analyst - Card Fraud

Thank you for your interest in a career at Regions. At 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.

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.

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 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, 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

Skills and Competencies

• 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

Additional job detail for this specific opportunity

• 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
• Nice to have: Experience using LLMs to streamline processes

This position is currently offsite, preferably close to a Regions office within our retail branch footprint. Associates will work from their home primarily and may be expected to go on site for meetings or other events as needed. This position's work arrangement is subject to change based on business needs. Although the role may currently be remote, associates may be required to work onsite on a regular basis, including three or more full days per week. The manager will determine and communicate the work schedule and in-office expectations.

This position may be filled at a higher level depending on the candidate's qualifications and relevant experience.

Regions will not sponsor applicants for work visas for this position. Applicants for this position must be currently authorized to work in the United States on a full-time basis.

Compensation Details

Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.

The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.

Job Range Target:

Minimum:

$59,466.00 USD

50th Percentile:

$78,300.00 USD

Incentive Pay Plans:

This job is not incentive eligible.

Location:

Hoover, Alabama

Equal Opportunity Employer/including Disabled/Veterans

Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.