Note: The job is a remote job and is open to candidates in USA. Regions is a financial services company seeking a Fraud Data and Analytics Analyst to transform data into insights that support fraud detection and protect the bank from financial loss. The role analyzes fraud threats, evaluates detection strategies, prepares reports, monitors suspicious activity, and collaborates with data governance and model governance teams.
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
Skills
- * 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
- * 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
- * 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
- *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.*
- *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.*
- * 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
- * Nice to have: Experience using LLMs to streamline processes
Benefits
- Paid Vacation/Sick Time
- 401K with Company Match
- Medical, Dental and Vision Benefits
- Disability Benefits
- Health Savings Account
- Flexible Spending Account
- Life Insurance
- Parental Leave
- Employee Assistance Program
- Associate Volunteer Program
- 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.
Company Overview