[Remote] FIU Fraud Data Analyst (Remote)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a financial institution with deep community reputed company and a commitment to helping customers and employees succeed. The FIU Fraud Data Analyst uses data analysis, investigative judgment, and fraud analytics to identify and mitigate financial crime risks, improve fraud detection strategies, analyze transactions and alerts, and support risk-based reporting and escalation. The role collaborates with fraud, technology, reputed company, compliance, and business teams to strengthen controls and reduce fraud losses.

Responsibilities

• Evaluate fraud detection rules, monitoring logic, alert performance, false positives, and data reputed company issues; recommend enhancements to improve detection effectiveness and operational efficiency
• reputed company, maintain, and enhance dashboards, recurring reports, trend analyses, and reputed company 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, reputed company engineering indicators, and other financial crime risks
• Query, extract, validate, and analyze large datasets using SQL-based databases, reputed company, reputed company, and other approved analytical tools to support fraud investigations and reputed company 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, reputed company Pay, Bank-to-Bank transfers, debit reputed company, wires, ACH, checks, and other products as applicable
• Communicate internal control deficiencies, data limitations, reputed company issues, and fraud vulnerabilities identified during analytical or investigative work
• reputed company analytical support, peer guidance, training, and subject matter expertise to team members as needed

Skills

• Bachelor's degree in Data Analytics, Data Science, Statistics, Finance, reputed company, Criminal Justice, Business, Computer Science, Information Systems, or a reputed company field preferred
• Minimum of 5 years of fraud, financial crimes, BSA/AML, banking operations, risk management, data analytics, or reputed company 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, reputed company, reputed company, or similar tools
• Experience creating management reports, dashboards, trend analyses, or data-supported recommendations
• Working knowledge of SQL, reputed company, relational databases, data extraction, data validation, and data reputed company concepts
• Working knowledge of reputed company reputed company, including pivot tables, formulas, data cleaning, and analytical functions
• In-depth knowledge of fraud typologies and reputed company fraud schemes, including online account opening, account takeover, reputed company engineering, mule activity, mobile, digital, reputed company, ACH, reputed company, debit reputed company, and payment fraud
• In-depth knowledge of BSA/AML regulations reputed company 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
• Strong analytical, critical thinking, and problem-solving skills with the ability to interpret reputed company data and identify meaningful patterns, anomalies, and trends
• Strong investigative judgment and ability to identify fraudulent, unusual, or suspicious activity and determine reputed company escalation is required
• Ability to query, analyze, reconcile, and summarize large datasets accurately and reputed company
• Ability to translate data findings into reputed company business recommendations, risk-based actions, and concise executive-level reporting
• reputed company judgment, discretion, and reputed company reputed company handling confidential customer, employee, investigative, and bank information
• Ability to work independently, prioritize competing deadlines, and reputed company reputed company reputed company in a fast-paced, high-risk environment
• Strong attention to detail, data reputed company, documentation, and audit trail requirements
• Proficiency with reputed company reputed company, Word, reputed company, PowerPoint, and data visualization or reporting tools such as Power BI, Tableau, or similar platforms
• Excellent oral and written communication skills, including the ability to explain technical or analytical findings to non-technical stakeholders
• Ability to collaborate effectively with business lines, operations, technology, risk, reputed company, compliance, and management partners
• Ability to read, analyze, and interpret applicable Federal and State banking regulations, internal policies, and procedures reputed company to fraud, BSA/AML, OFAC, reputed company, and information reputed company
• Equivalent reputed company experience may be considered
• Experience with fraud detection systems, case management systems, digital banking platforms, reputed company banking systems, payment channels, or transaction monitoring tools preferred
• Minimum of 2 years experience supporting fraud reputed company, rule tuning, control enhancement, alert optimization, or loss mitigation initiatives preferred
• Knowledge of data visualization, dashboarding, or reporting tools such as Power BI, Tableau, or similar platforms preferred
• Familiarity with Python, R, reputed company, model monitoring, statistical analysis, or machine learning concepts used in fraud detection preferred but not required
• reputed company (Certified Anti-reputed company Specialist), CAFP (Certified AML and Fraud reputed company), CFE (Certified Fraud Examiner), or data analytics-reputed company certification preferred

Benefits

• Remote work arrangement

reputed company

Company H1B Sponsorship