[Hiring] FIU Fraud Data Analyst @SouthState Bank

Role Description

The FIU Fraud Data Analyst is responsible for using data, investigative judgment, and fraud analytics to identify, investigate, and mitigate internal and external financial crime risks against the Bank. This role analyzes large and complex datasets, fraud alerts, customer and transaction activity, and emerging fraud trends to support timely risk-based decisions, reduce fraud losses, strengthen controls, and ensure regulatory expectations are met. The position partners with FIU leadership, Fraud Operations, Digital Banking, Treasury Management, Information Technology, Information Security, Compliance, and other business partners to develop actionable insights, improve fraud detection strategies, and support effective reporting and escalation.

It is the policy of SouthState Bank to comply with the Bank Secrecy Act (BSA), USA PATRIOT Act, and the requirements of the Office of Foreign Assets Control (OFAC), and other related anti-money laundering/anti-terrorist financing initiatives. The Bank has established a BSA/AML/OFAC Compliance Program, covering all requirements of the BSA, USA PATRIOT Act, and OFAC rules and regulations. Upon completion of required training, the Board of Directors of SouthState Bank shall hold each employee accountable for adhering to the established operating procedures and internal controls as set forth in the Bank’s BSA/AML/OFAC Program. Continued instances of non-compliance or willful violation of law may result in disciplinary action, up to and including termination.

Duties & Responsibilities

• Evaluate fraud detection rules, monitoring logic, alert performance, false positives, and data quality issues; recommend enhancements to improve detection effectiveness and operational efficiency.
• Develop, maintain, and enhance dashboards, recurring reports, trend analyses, and ad hoc data views to identify fraud patterns, emerging typologies, control gaps, and loss exposure.
• Identify emerging fraud trends, attack patterns, mule activity, account takeover indicators, synthetic identity concerns, suspicious online account opening activity, social engineering indicators, and other financial crime risks.
• Query, extract, validate, and analyze large datasets using SQL-based databases, Snowflake, Excel, and other approved analytical tools to support fraud investigations and strategy development.
• Analyze fraud alerts, account activity, customer behavior, transaction patterns, and other data sources to identify unusual, suspicious, or potentially fraudulent activity.
• Research and analyze high-risk transactions across payment channels, including digital banking, Zelle, Bill Pay, Bank-to-Bank transfers, debit card, wires, ACH, checks, and other products as applicable.
• Communicate internal control deficiencies, data limitations, system issues, and fraud vulnerabilities identified during analytical or investigative work.
• Provide analytical support, peer guidance, training, and subject matter expertise to team members as needed.
• Take ownership of all tasks and challenges encountered in the operation of the assigned position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Qualifications

• Bachelor’s degree in Data Analytics, Data Science, Statistics, Finance, Accounting, Criminal Justice, Business, Computer Science, Information Systems, or a related field preferred.
• Equivalent related experience may be considered.
• Minimum of 5 years of fraud, financial crimes, BSA/AML, banking operations, risk management, data analytics, or related experience in a financial institution or similar regulated environment.
• Experience conducting fraud investigations, analyzing transactional activity, and identifying patterns indicative of fraud or financial crime.
• Minimum of 2 years’ experience querying, analyzing, and reconciling large datasets using SQL-based databases, Snowflake, Excel, or similar tools.
• Experience creating management reports, dashboards, trend analyses, or data-supported recommendations.
• Experience with fraud detection systems, case management systems, digital banking platforms, core banking systems, payment channels, or transaction monitoring tools preferred.
• Minimum of 2 years experience supporting fraud strategy, rule tuning, control enhancement, alert optimization, or loss mitigation initiatives preferred.

Requirements

• Working knowledge of SQL, Snowflake, relational databases, data extraction, data validation, and data quality concepts.
• Working knowledge of Microsoft Excel, including pivot tables, formulas, data cleaning, and analytical functions.
• Knowledge of data visualization, dashboarding, or reporting tools such as Power BI, Tableau, or similar platforms preferred.
• Familiarity with Python, R, SAS, model monitoring, statistical analysis, or machine learning concepts used in fraud detection preferred but not required.
• In-depth knowledge of fraud typologies and associated bank fraud schemes, including online account opening, account takeover, social engineering, mule activity, mobile, digital, check, ACH, wire, debit card, and payment fraud.
• Familiarity with payment types and digital banking products, including Zelle, Bill Payments, Bank-to-Bank payments, ACH, wires, checks, debit cards, and related customer authentication controls.
• In-depth knowledge of BSA/AML regulations related to suspicious activity monitoring, escalation, and reporting.
• Strong understanding of bank operations, including navigating banking systems, interpreting teller and customer transactions, and evaluating account relationships.
• CAMS (Certified Anti-Money Laundering Specialist), CAFP (Certified AML and Fraud Professional), CFE (Certified Fraud Examiner), or data analytics-related certification preferred.

Benefits

• Required annual compliance training.
• System-specific training as necessary to perform duties.
• FIU/Financial crimes training as assigned by the Chief BSA Officer.

Physical Demands and Work Environment

• Ability to communicate in person, on the phone, and through electronic channels.
• Ability to use a computer on a frequent basis, including typing and sustained attention to a monitor.
• Ability to sit, walk, and/or stand for extended periods of time.
• Ability to bend and reach.

Office: If the position reports to a physical Company location, the setting will be a typical office environment.

Remote or hybrid: For remote or hybrid positions, a secure and distraction-free setting is required, with a reliable internet connection (cable or fiber preferred, mobile hotspots not acceptable). Hybrid positions will report to a physical Company location, as directed by the manager, and that setting will be a typical office environment.

In accordance with Colorado and Virginia law: Pay for this position is anticipated to be between $87,282.00 - $139,425.00, actual offers to be determined based on applicant’s skills, experience, and education.

While the anticipated deadline for the job posting is 11-15-2026, we encourage you to submit your application as we may still consider qualified candidates beyond this date.

Equal Opportunity Employer, including disabled/veterans.