Pathward, N. A.
Financial Services
FraudReportingAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Fraud Reporting Analyst at Pathward, N. A.. Skills: Fraud reporting, Data analysis, Risk management. Analyze large, complex datasets. Generate insights across credit performance, fraud trends, and”
What You'll Achieve.
Identify emerging fraud trends; Identify emerging fraud typologies; Identify emerging control gaps; Support effective fraud detection; Support effective fraud investigation; Support effective fraud escalation; Support overall program performance; Ensure data integrity; Ensure audit traceability; Ensure clear linkage to control effectiveness; Support effective decision-making
Industry & Context.
Problem-solving skills; Analytical skills
What They're Looking For.
Must Have
Bachelor's degree or equivalent, Up to 2+ years experience
Nice to Have
Experience in financial services, Experience in fraud risk management, Experience in payments, Experience in consumer credit industry, Experience in fraud analytics, Experience in fraud reporting, Experience in payments data, Experience in financial crime data, Foundational understanding of fraud typologies, Experience with fraud KPIs/KRIs, Experience with operational metrics, Experience with regulatory reporting, Experience with audit-driven reporting, Familiarity with fraud detection systems, Familiarity with alert/case management tools, Familiarity with transaction monitoring platforms
What You'll Do.
Generate insights across credit performance
Support development and monitoring of fraud detection models
Support development and monitoring of fraud detection rules
Support development and monitoring of fraud detection thresholds
Support development and monitoring of fraud detection segmentation
Design and deliver fraud and risk reporting
Establish and maintain data governance processes
Establish and maintain data validation processes
Translate complex data into actionable insights
Partner cross-functionally to implement strategies
Partner cross-functionally to address control gaps
Partner cross-functionally to enhance risk and fraud program
Analyze fraud alert and case lifecycle data
Identify process inefficiencies
Identify quality issues
Identify opportunities for automation
Identify opportunities for control enhancement
How You'll Work.
Team & Collaboration
Cross-functionally; Fraud Operations; Compliance (BSA/AML); Risk; Product; Technology teams
Communication Scope
Communicate findings to management; Explain complex insights
Full Job Description
We are a hybrid, remote-office company dedicated to growing our talent anywhere! We have onsite locations in: Sioux Falls, SD, Scottsdale, AZ, Louisville, KY, Troy, MI, Franklin, TN, Easton, PA. At Pathward, we take tremendous pride in our purpose to create financial inclusion for all™. We are a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We strive to remove barriers that traditional institutions put in the way of financial access, and promote economic mobility by providing responsible, secure, high quality financial products. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success. We celebrate, and embrace, our team members through our *HUMBLE*HUNGRY*SMART approach, and we believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve. About the Role: Develop and program methods, processes, and systems to consolidate and analyze diverse data sets to generate insights and solutions for customer solutions and program enhancement. Identify and interpret insights from data sources and communicate findings to management. Within the Fraud Risk Management and Operations function, this role is specifically responsible for analyzing fraud-related data across alerts, cases, losses, and customer activity to identify emerging fraud trends, typologies, and control gaps. The role emphasizes fraud-centric reporting, including the design, production, and interpretation of fraud KPIs/KRIs, to support effective fraud detection, investigation, escalation, and overall program performance. What You Will Do: Analyze large, complex datasets to generate insights across credit performance, fraud trends, and portfolio risk, using descriptive, predictive, and prescriptive analytics, with a primary focus on fraud detection effectiveness, loss
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