American Heritage Credit Union is hiring: Fraud Data Analyst (onsite) in Feaster

American Heritage Credit Union, a $4.9+ billion credit union, has an immediate opening for a Fraud Data Analyst in Philadelphia, PA!

This position will assist the Enterprise Risk Management team in preventing fraud and managing losses to mitigate their effects on the credit union and its members. Provide analytic and project support to the ERM department for the advancement of controls and mitigation of risk by organizing, analyzing, and drawing conclusions from volumes of data to identify fraud trends by leveraging multiple technologies and working across verticals to help design mitigation strategies.

Responsibilities Include:

• Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud.
• Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards.
• Perform detailed research and investigation on alerts that are generated for potential fraud schemes.
• Work closely with variety of 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 to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated.
• Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud Program.
• Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management.
• Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions.
• Conduct research, work independently, and make complex investigation decisions.
• Develop strategies for the prevention and/or detection of internal and external fraud.
• Support development of new fraud tools, processes, and third-party provided services.
• Work closely with third-party providers to promptly implement, update, and make changes to fraud preventive rules.
• Interpret data, analyze results using analytics, research methodologies, and statistical techniques.
• Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders by creating reports, specifications, instructions, and flowcharts.
• Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirement documentation to design and execution.
• Respond to fraud alerts by notifying members, restricting cards or other account privileges, and closing accounts.
• Investigate claims of fraud against the member and credit union by following governing regulations, policies, and procedures when gathering evidence and information.
• Assist with subpoenas and legal requests and provide timely and accurate evidence to law enforcement agencies.
• Assist with the processing of fraudulent items by gathering information and presenting documentary evidence in an accurate and timely manner; Work with members to define and eliminate future fraudulent transactions.
• Assist the ERM team with the timely preparation of Fraudulent Check Crime Reports, Bad Check Reports, and Fraudulent Credit Card Reports.
• Assist with performing collection activities as needed on suspected or potentially fraudulent accounts; Track losses resulting from fraudulent transactions within the case management system.
• Assist the ERM team with any investigations requested at the direction of the AVP of Fraud Investigations.
• At the direction of the AVP of Fraud Investigations, assist branch staff and other departments throughout the credit union with resolving questionable activity on member accounts.
• Assist with implementing corrective action procedures as necessary to ensure compliance with policies and procedures and to avoid future compliance issues.
• Participate in establishing and maintaining professional business relationships with regulatory agencies, auditors, appraisers, and business associates including legal and law enforcement.
• Assist with prompt resolution of complaints, questions, and problems.
• Maintain awareness of new fraud techniques and security developments for counteracting fraud.
• Remain informed of trends and developments in loss and fraud issues and loan reviews.

QUALIFICATIONS:

• One to three years of similar or related experience using advanced data mining tools and large datasets, performing statistical analysis, and conducting predictive modeling.
• Financial institution experience and industry knowledge required.
• Equivalent to a college degree (BS or BA) preferably in a quantitative field (Finance, Risk, Mathematics or Statistics) or the equivalent combination of education and experience in Fraud Prevention.
• Experience with analyzing Payment Data, ACH/Wire data, Fraud data, Financial Crime data.
• Experience in performing trend and detect analysis and building reports.
• Significant experience with relational databases, scripting languages, and database concepts.
• Knowledge of risk management and control principles.
• Working knowledge or the ability to learn and understand credit union products and services.
• Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy.
• Problem-solver with a strong analytic mindset, competent in research and problem resolution.
• Reliable and thorough with a deep commitment to quality and accuracy; Keen eye for details and exceptional analytical, planning, organizational and problem-solving skills.
• Considerable judgment is required. Must be able to analyze complicated factual situations, apply functional principles and develop solutions.
• Ability to understand broader business issues, objectively analyze data and information to form a big-picture view of risk.
• Creativity and ability to be data-driven and aggressive in delivering results required.
• Self-motivated with proven ability to work independently under minimal supervision, prioritize issues, work within ambiguity, and manage tight deadlines.
• Must be available for rotating weekend hours
• Must be available to work in office at the Neshaminy Interplex office.

Our commitment to your success is enhanced by our competitive rate commensurate with experience and an extensive benefits package including paid time off, health benefits, 401(k) with a generous escalating company match, and future growth opportunities within the company. We work to maintain the best possible professional and environmentally friendly atmosphere for our employees.

EOE M/F/D/V