Enterprise Fraud Analyst: Risk & Investigations

Educational Federal Credit Union; United States; On-site; USD 85,000 - 125,000; Full time

Benefits offered by this job

Paid holidays

Paid vacation

401K with company match

Medical, dental, and vision insurance

Tuition reimbursement

Job summary

Educational Federal Credit Union seeks an Enterprise Fraud Analyst to identify, investigate, and mitigate fraud risks across the organization. You will monitor activity across channels, analyze trends, and partner with business units to strengthen controls and reduce losses.

Responsibilities include developing fraud metrics, supporting risk assessments, and assisting with regulatory exams. Strong data analytics and SQL skills, plus a 2-year background in fraud, are preferred.

Qualifications

• Bachelor’s degree in a related field is required.
• 2 years of fraud detection, investigations, or risk management experience in a financial institution.

Responsibilities

• Monitor and analyze fraud activity across all products and channels.
• Investigate suspected fraud and document cases per enterprise standards.
• Identify fraud trends, root causes, and emerging risks across units.
• Partner with lines of business to implement enterprise fraud controls.
• Develop fraud metrics, dashboards, and reports for leadership.
• Assist with fraud-related risk assessments and regulatory exams.
• Support vendor management for fraud tools and systems.

Skills

Fraud analytics

Data analysis

Communication

Integrity

Strategic thinking

Attention to detail

Education

Bachelor's degree in Business, Finance, Accounting, Criminal Justice, Risk Management, or related field

Tools

SQL

Fraud platforms

Case management systems

Reporting tools

Job description

Educational Federal Credit Union seeks an Enterprise Fraud Analyst to identify, investigate, and mitigate fraud risks across the organization. You will monitor activity across channels, analyze trends, and partner with business units to strengthen controls and reduce losses.

Responsibilities include developing fraud metrics, supporting risk assessments, and assisting with regulatory exams. Strong data analytics and SQL skills, plus a 2-year background in fraud, are preferred.