Card Fraud Analyst
Card Fraud Analyst Summary PenFed is hiring a Card Fraud Analyst in the Alexandria, VA office. The primary purpose of this job is to be responsible for direct data analytics required for the development of PenFed's fraud strategies on credit/debit cards primarily, as well as ACH/Wire.. This position will place particular emphasis on analytical methods, direct data mining, strategy development and deployment, strategy performance assessment, MIS development, while maintaining a balance with member impact. This position will primarily focus on transaction fraud strategies, and work closely with other stakeholders to identify and mitigate ID theft and application fraud. Essential Functions Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned. Develop and deploy fraud strategies to detect and prevent fraud losses for PenFed cards and ACH/Wire. Design transaction fraud strategies which effectively minimize cardmember disruptions while balancing financial impact and risk to the credit union. Collaborate with other stakeholders for developing strategies that target application fraud. Develop and maintain MIS that enables tracking of fraud strategy performance, queue performance, deviation MIS (to identify fraud events), exception MIS to review high risk defects, etc. Support large-scale strategic projects that require data analytics towards fraud mitigation. Methods required may be simple analytics utilizing BI tools or require more complex modeling applying data-science expertise. Develop analytics reports that will drive early insights into fraud trends and provide recommendation to management based on findings. Develop sophiscated queries and work with larger team to identify gaps, develop appropriate fraud mitigation strategies, and recommend corrective action to management. Monitor performance of fraud strategies, scoring models and support independent model validation efforts in accordance with the model governance policy. Interpret analytic findings and formulate recommendations to share with key decision makers. Clearly articulate findings/observations and make recommendations as appropriate. Education and Experience Equivalent combination of education and experience is considered. Bachelor's Degree in Economics, Finance, Statistics, Engineering or a related field is required Advanced degree in a quantitative or a related field is highly preferred Three years of experience of risk experience in banking/financial industry preferred Experience in fraud mitigation and risk analytics in credit card or related consumer products highly preferred Experience and expertise in a statistical software like SAS, SQL, R, Python is required Proficiency working with large dataset are required Statistical analysis experience, including trend analysis, regression analysis, and model validation Knowledge of statistical concepts, predictive modeling, and analytic tools are required Ability to handle multiple priorities simultaneously, with proven skills to effectively manage prioritization while effectively meeting deliverables Strong interpersonal and communication skills to develop effective working relationships with other stakeholders and clearly articulate methods and recommendations to management Supervisory Responsibility This position will not supervise employees. Licenses and Certifications There are no additional certifications required. Work Environment While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise. Travel Limited travel to various worksites is required.