Fraud Data and Analytics Analyst - Card Fraud
About The Position
At Regions, the Fraud Data and Analytics Analyst transforms data into meaningful formats for operational and decision-making purposes, specializing in the analysis of fraud-based threats. Focused on day-to-day deliverables, the role works with senior analysts and managers to gather and interpret data that supports data-driven decisions, fraud detection, and insights to protect the bank from financial loss. The position is currently offsite, with associates working primarily from home and potentially attending meetings or other events onsite as needed. The arrangement may change based on business needs, and associates may be required to work onsite regularly, including three or more full days per week. The manager will determine and communicate the schedule and in-office expectations. The position may be filled at a higher level depending on the candidate's qualifications and relevant experience. Applicants must be authorized to work full-time in the United States; Regions will not sponsor work visas. The position is exempt from FLSA timekeeping requirements and is not eligible for overtime pay.
Requirements
- A master's degree in Business, Computer Science, Information Systems, Finance, Statistics, Criminal Justice, Mathematics, Engineering, or a related field; or a bachelor's degree in one of these fields or a related field and two years of experience in a data analytics or related role.
- 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.
- Analytical skills.
- Basic knowledge of the banking industry.
- Demonstrated leadership capabilities.
- General knowledge of fraud processes.
- Proficiency in Microsoft Office, including Excel, Word, PowerPoint, and Outlook.
- Strong verbal and written communication and organizational skills.
- Strong work ethic and self-motivation.
- Must be currently authorized to work in the United States on a full-time basis.
Nice To Haves
- Experience using analytical software and programming languages such as SQL, SAS, Python, Ruby, R, MATLAB, Scala, or Java.
- Working knowledge of business intelligence software such as Tableau or Power BI.
- Experience with big data technologies such as Snowflake, Hadoop, Hive, Impala, Spark, or Kafka.
- Experience in machine learning, deep learning, or artificial intelligence.
- Experience using LLMs to streamline processes.
- Being located preferably close to a Regions office within its retail branch footprint.
Responsibilities
- Analyze and interpret fraud-based threats affecting the bank by gathering and analyzing data, preparing reports, determining how fraud was conducted, quantifying losses, and recommending actions to management to address threats and mitigate losses.
- Identify fraud savings opportunities through net loss reduction or operational efficiency and effectiveness.
- Assess the effectiveness of current rule strategies and recommend enhancements based on analysis.
- Develop and execute transaction and system monitoring for unusual or suspicious merchants and other redemption activities.
- Help prepare valuable, readable, and presentable reports for stakeholders.
- Assist in preparing visual reports and presentations to communicate analysis to management.
- Interpret, analyze, and provide insights to teams and managers about operational impact, trends, and opportunities.
- Perform data analysis to help achieve data automation.
- Create and maintain databases to classify and store information.
- Complete day-to-day deliverables and ad hoc data reports supporting business needs and projects, and answer data-related questions.
- Support compliance through quality data audits, mining, and management.
- Monitor data and analytics trends and seek opportunities for continuous improvement.
- Partner with the centralized Data Governance team to implement and support data governance and data quality requirements.
- Partner with the Model Governance team to support model governance activities, including ongoing monitoring.
- Stay informed about best practices and fraud trends to optimize and refine controls used to detect fraudulent activity.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
