At Frost Bank, we are looking for a highly analytical and detail-oriented Data Analyst – Fraud & ID to join our team. This individual will be responsible for leveraging data to protect our customers from fraud and identity theft. The ideal candidate should have exceptional problem-solving and communication skills, as well as the ability to analyze complex data to draw meaningful conclusions and develop solutions.The successful candidate must have a Bachelor's degree in a quantitative field such as mathematics, computer science, or economics, and have a minimum of three years of experience in data analysis or a related field. Knowledge of data mining, data visualization, and SQL is a significant advantage. The successful candidate will be able to identify and prioritize problems, stay organized, and communicate effectively with internal stakeholders. The individual must possess a passion for data and an eagerness to learn and develop new skills.If you have the qualifications and are excited about the prospect of joining our team, please apply now!
Responsibilities:
- Leverage data to protect customers from fraud and identity theft.
- Analyze complex data to draw meaningful conclusions and develop solutions.
- Identify and prioritize problems.
- Stay organized and communicate effectively with internal stakeholders.
- Possess a passion for data and an eagerness to learn and develop new skills.
- Utilize data mining, data visualization, and SQL technologies to support the team.
- Monitor and audit customer account activities to detect and prevent fraudulent activity.
- Generate reports and analyze trends to identify areas of improvement.
- Assist in developing and implementing fraud prevention and detection strategies.
- Collaborate with other departments to ensure compliance with fraud prevention regulations.
Economics
Sql
Statistics
Bachelor's Degree In A Quantitative Field
Such As Mathematics
Or Computer Science
Demonstrated Proficiency In Data Analysis
Including Advanced Knowledge Of Excel
And Other Data Tools
Knowledge Of Fraud Detection Methods And Techniques
Ability To Analyze Large Datasets And Identify Patterns And Trends
Experience With Data Visualization Tools Such As Tableau Or Powerbi
Ability To Interpret And Present Data In A
Business Intelligence
Data Analysis
statistical analysis
Problem Solving
Database Management
Data Visualization
Report Writing
Data Mining
Statistical modeling
Risk assessment
Data governance
SQL querying
Fraud detection
Pattern Recognition
Id Verification
Communication
Leadership
Problem Solving
Time management
Interpersonal Skills
creativity
Critical thinking
Attention to detail
Teamwork
Adaptability
According to JobzMall, the average salary range for a Data Analyst - Fraud & ID in Austin, TX, USA is between $57,000 and $111,000 per year. The median salary is approximately $84,000. This range may vary depending on the experience and qualifications of the individual, as well as the company they work for.
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Frost Bank is a Texas-chartered bank based in San Antonio with 134 branches and 1,300 automated teller machines, all in Texas. It is the primary subsidiary of Cullen/Frost Bankers, Inc., a bank holding company. It is on the list of largest banks in the United States.

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