Pathward, N. A.

Financial Services

FraudReportingAnalyst

$60–101k Remote Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Financial Services
Problems you'll solve

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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