Remote Fraud Data Analyst – Banking Analytics

Socket.dev; Sanford (FL); On-site; USD 75,000 - 120,000; Full time

Job summary

SouthState Bank seeks a FIU Fraud Data Analyst to turn data into actionable insights that mitigate financial crime risks. You will analyze large datasets, fraud alerts, and customer activity to support risk-based decisions and strengthen controls.

Collaborate with Fraud Operations, Digital Banking, IT, Compliance, and other partners to improve detection, reporting, and escalation while ensuring BSA/AML regulatory requirements are met.

Qualifications

• Bachelor’s degree in Data Analytics, Data Science, Finance, or related field preferred.
• Minimum 5 years in fraud/financial crime, BSA/AML, or risk analytics in a financial setting.
• At least 2 years of SQL-based data analysis using SQL, Snowflake, and Excel.
• Experience with fraud detection systems, case management, and reporting tools.
• Ability to create management reports, dashboards, and data-driven recommendations.

Responsibilities

• Evaluate fraud detection rules and monitoring logic; suggest enhancements.
• Develop dashboards and recurring reports to identify fraud patterns and loss exposure.
• Identify emerging fraud trends, attack patterns, and suspicious activity.
• Query and analyze large datasets using SQL-based databases, Snowflake, Excel, and other tools.
• Analyze alerts, accounts, customer behavior, and transaction patterns for anomalies.
• Investigate high-risk transactions across payment channels and digital banking platforms.
• Communicate data limitations, system issues, and fraud vulnerabilities to stakeholders.
• Provide analytical support and training to team members as needed.

Skills

SQL

Snowflake

Excel

Power BI

Fraud analytics

Data mining

Education

Bachelor's degree in Data Analytics or related field

Equivalent related experience

Tools

Power BI

Tableau

Python

R

SAS

Job description

SouthState Bank seeks a FIU Fraud Data Analyst to turn data into actionable insights that mitigate financial crime risks. You will analyze large datasets, fraud alerts, and customer activity to support risk-based decisions and strengthen controls.

Collaborate with Fraud Operations, Digital Banking, IT, Compliance, and other partners to improve detection, reporting, and escalation while ensuring BSA/AML regulatory requirements are met.