Fraud Data Analyst (onsite)

$50,000 - $60,000/Yr

American Heritage Credit Union - Feasterville-Trevose, PA

Full-time - Entry Level

Feasterville-Trevose, PA

1,001-5,000 employees

About the position

The Fraud Data Analyst position at American Heritage Credit Union is focused on assisting the Enterprise Risk Management (ERM) team in preventing fraud and managing losses. The role involves analyzing data to identify fraud trends, developing mitigation strategies, and providing analytic support to enhance fraud controls. The analyst will work closely with cross-functional teams and utilize various technologies to combat fraud effectively.

Responsibilities

• Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team.
• Review system-generated triggers for potentially fraudulent activity on members' accounts.
• Perform detailed research and investigation on alerts generated for potential fraud schemes.
• Work closely with cross-functional teams to analyze suspicious activity and provide mitigation recommendations.
• Build and maintain tools and/or processes to collect and track data and troubleshoot errors.
• Develop and maintain processes and documentation for fraud identification, escalation, and mitigation.
• Develop, maintain, and publish periodic Key Performance Indicators for the Fraud Program.
• Leverage data to understand fraudulent behavior and report to appropriate teams and management.
• Use relational database queries and spreadsheets to analyze and visualize datasets.
• Conduct research, work independently, and make complex investigation decisions.
• Develop strategies for the prevention and detection of internal and external fraud.
• Support development of new fraud tools, processes, and third-party services.
• Interpret data, analyze results using analytics, research methodologies, and statistical techniques.
• Prepare, analyze, and summarize various operational results for key stakeholders.
• Conduct full lifecycle of analytics projects, including data pulling and manipulation.
• Respond to fraud alerts by notifying members and restricting account privileges.
• Investigate claims of fraud against members and the credit union.
• Assist with subpoenas and legal requests, providing evidence to law enforcement.
• Assist with processing fraudulent items and work with members to eliminate future fraud.
• Assist the ERM team with timely preparation of Fraudulent Check Crime Reports and other reports.
• Assist with collection activities on suspected fraudulent accounts.
• Track losses from fraudulent transactions within the case management system.
• Assist with investigations requested by the AVP of Fraud Investigations.
• Assist branch staff and other departments with resolving questionable activity.
• Implement corrective action procedures to ensure compliance with policies.
• Establish and maintain professional relationships with regulatory agencies and auditors.
• Assist with prompt resolution of complaints, questions, and problems.
• Maintain awareness of new fraud techniques and security developments.

Requirements

• One to three years of experience using advanced data mining tools and large datasets.
• Experience in statistical analysis and predictive modeling.
• Financial institution experience and industry knowledge required.
• Equivalent to a college degree (BS or BA) in a quantitative field or equivalent experience in Fraud Prevention.
• Experience with analyzing Payment Data, ACH/Wire data, and Fraud data.
• Significant experience with relational databases, scripting languages, and database concepts.
• Knowledge of risk management and control principles.
• Working knowledge of credit union products and services.
• Advanced analytical skills with experience in data collection and analysis.
• Strong problem-solving skills with a keen eye for detail and accuracy.
• Ability to analyze complicated factual situations and develop solutions.
• Self-motivated with the ability to work independently and manage tight deadlines.

Nice-to-haves

• Experience in financial crime data analysis.
• Familiarity with fraud detection tools and methodologies.

Benefits

• 401(k) matching
• Health insurance
• Paid time off