FIU Fraud Data Analyst (Remote)

Location: Remote, United States; listed location is Winter Haven, Florida

Salary: $87,282–$139,425 per year

Company

hirify.global is a financial institution providing banking services and fraud risk management across the South and beyond.

What you will do

• Evaluate fraud detection rules, monitoring logic, alert performance, false positives, and data quality issues.
• Build and maintain dashboards, recurring reports, trend analyses, and ad hoc data views.
• Investigate fraud alerts, account activity, customer behavior, transaction patterns, and emerging financial crime typologies.
• Analyze high-risk transactions across digital banking, Zelle, Bill Pay, ACH, wires, checks, debit cards, and bank-to-bank transfers.
• Query, extract, validate, reconcile, and analyze large datasets to support investigations and fraud strategy.
• Communicate control deficiencies, system issues, vulnerabilities, and analytical recommendations to cross-functional partners.

Requirements

• Bachelor’s degree in data analytics, data science, statistics, finance, accounting, criminal justice, business, computer science, information systems, or a related field preferred; equivalent experience may be considered.
• At least 5 years of experience in fraud, financial crimes, BSA/AML, banking operations, risk management, data analytics, or a similar regulated environment.
• At least 2 years of experience querying and analyzing large datasets using SQL-based databases, Snowflake, Excel, or similar tools.
• Experience conducting fraud investigations, analyzing transactional activity, and creating reports, dashboards, or trend analyses.
• Knowledge of SQL, Snowflake, relational databases, data extraction, data validation, data quality, Excel, and data visualization or reporting tools.
• Knowledge of fraud typologies, payment risks, digital banking products, BSA/AML regulations, OFAC, suspicious activity monitoring, and bank operations.

Nice to have

• Experience with fraud detection, case management, digital banking, core banking, payment-channel, or transaction-monitoring systems.
• Experience with fraud strategy, rule tuning, control enhancement, alert optimization, or loss mitigation.
• Knowledge of Python, R, SAS, model monitoring, statistical analysis, or machine learning concepts.
• CAMS, CAFP, CFE, or a data analytics-related certification.

Culture & Benefits

• Remote work requires a secure, distraction-free setting and reliable cable or fiber internet; mobile hotspots are not acceptable.
• Mandatory BSA/AML/OFAC compliance training and annual compliance training are provided.
• FIU and financial crimes training is assigned as needed.
• The role may require work before or after normal business hours and regular computer-based work.
• Reasonable accommodations may be available for individuals with disabilities.