FIU Fraud Data Analyst (Fintech)

Location: Onsite at 110 W 1st St, Sanford, Florida, United States; office-based work is required.

Company

hirify.global is a growing financial institution providing banking and financial services across the southern United States.

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 high-risk payment activity.
• Identify emerging fraud typologies, account takeover indicators, mule activity, synthetic identity risks, and social engineering patterns.
• Query, extract, validate, reconcile, and analyze large datasets using SQL-based databases, Snowflake, Excel, and related tools.
• Partner with fraud operations, digital banking, technology, information security, compliance, and other stakeholders to improve controls and reporting.

Requirements

• At least 5 years of experience in fraud, financial crime, BSA/AML, banking operations, risk management, data analytics, or a related regulated environment.
• At least 2 years of experience querying and analyzing large datasets with SQL-based databases, Snowflake, Excel, or similar tools.
• Experience conducting fraud investigations, analyzing transactional activity, and identifying financial crime patterns.
• Working knowledge of SQL, relational databases, data extraction, data validation, data quality, and Excel analytical functions.
• Knowledge of fraud typologies, payment channels, digital banking products, suspicious activity monitoring, BSA/AML, and OFAC requirements.
• Bachelor’s degree in data analytics, data science, statistics, finance, accounting, criminal justice, business, computer science, information systems, or a related field preferred.

Nice to have

• Experience with fraud detection, case management, digital banking, core banking, payment monitoring, rule tuning, or loss mitigation systems.
• Experience with Power BI, Tableau, Python, R, SAS, model monitoring, statistical analysis, or machine learning concepts.
• CAMS, CAFP, CFE, or a data analytics-related certification.

Culture & Benefits

• Professional office environment with collaboration across banking, technology, risk, legal, compliance, and management functions.
• Required onboarding, annual compliance, system-specific, and financial crimes training.
• Work may occasionally require activity before or after normal business hours.
• Reasonable accommodations may be available for individuals with disabilities.