Fraud Reporting Analyst

Pathward

Completely RemoteFull TimeFinance & Banking
Posted Today

Job description

Responsibilities

  • Analyze large, complex datasets to generate insights across credit performance, fraud trends, and portfolio risk
  • Support development and monitoring of fraud detection models, rules, thresholds, and segmentation strategies
  • Design and deliver fraud and risk reporting (KPIs/KRIs) aligned to BSA/AML and enterprise risk standards
  • Establish and maintain data governance and validation processes, including reconciliations and lineage tracking
  • Translate complex data into actionable, executive-ready insights
  • Partner with Fraud Operations, Compliance, Risk, Product, and Technology teams
  • Analyze fraud alert and case lifecycle data to identify process inefficiencies and opportunities for automation

Requirements

  • Bachelor's degree or equivalent education and work experience
  • Up to 2+ years of experience with a bachelor's degree
  • Ability to handle large volumes of data and derive actionable insights
  • Strong analytical and problem-solving skills
  • Strong written and communication skills
  • Foundational understanding of fraud typologies (e.g., account takeover, first-party fraud, transaction fraud)

Preferred Qualifications

  • Experience in data analysis within financial services, fraud risk management, or payments
  • Experience in the consumer credit industry
  • Experience with fraud analytics, fraud reporting, or financial crime data
  • Experience working with fraud KPIs/KRIs and regulatory reporting environments
  • Familiarity with fraud detection systems or transaction monitoring platforms

About the Company

Pathward is a financial empowerment company dedicated to creating financial inclusion for all. We work with innovators to increase financial availability, choice, and opportunity by providing responsible, secure, and high-quality financial products.

Skills & tools

Data AnalysisFraud detectionRisk Management

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's degree
  2. 02Data analysis experience
  3. 03Analytical skills
  4. 04Communication skills
  5. 05Understanding of fraud typologies
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