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Fraud Reporting Analyst

Job in Sioux Falls, Minnehaha County, South Dakota, 57102, USA
Listing for: Pathward, N.A.
Full Time position
Listed on 2026-07-01
Job specializations:
  • Finance & Banking
    Financial Compliance, Risk Manager/Analyst, Financial Crime, Regulatory Compliance Specialist
Salary/Wage Range or Industry Benchmark: 60000 - 100500 USD Yearly USD 60000.00 100500.00 YEAR
Job Description & How to Apply Below

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, 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. We celebrate and embrace our culture, including
* HUMBLE*HUNGRY
* SMART
approach.

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, and escalation.

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 drivers, alert‑to‑case conversion, and emerging fraud typologies.
  • Support development and monitoring of fraud detection models, rules, thresholds, and segmentation strategies, ensuring alignment with evolving fraud risks and typologies.
  • Design and deliver fraud and risk reporting (KPIs/KRIs) aligned to BSA/AML and enterprise risk standards, ensuring data integrity, audit traceability, and clear linkage to control effectiveness, including reporting on fraud losses, alert volumes, investigation outcomes, SAR referrals, and operational effectiveness metrics across the fraud lifecycle.
  • Establish and maintain data governance and validation processes, including reconciliations, lineage tracking, and documentation to support audit and regulatory requirements.
  • Translate complex data into actionable, executive‑ready insights, partnering cross‑functionally to implement strategies, address control gaps, and enhance overall risk and fraud program performance.
  • Partner with Fraud Operations, Compliance (BSA/AML), Risk, Product, and Technology teams to ensure fraud reporting aligns with regulatory expectations.
  • Analyze fraud alert and case lifecycle data to identify process inefficiencies, quality issues, and opportunities for automation or control enhancement.
  • Other duties as assigned.
What You Will Need
  • Bachelor’s degree or equivalent education and work experience.
  • Up to 2+ years of experience with a bachelor’s degree or equivalent.
  • Experience in data analysis within financial services, fraud risk management, payments, or related domains preferred.
  • Ability to handle large volume of data and derive actionable insights.
  • Strong analytical and problem‑solving skills with solid business acumen.
  • Strong written and communication skills to explain complex insights to a range of audiences.
  • Experience in the consumer credit industry is a plus.
  • Experience with fraud analytics, fraud reporting, payments data, or financial crime data strongly preferred.
  • Foundational understanding of fraud typologies (e.g., account takeover, first‑party fraud, transaction fraud) and how they manifest in data.
  • Experience working with fraud KPIs/KRIs, operational metrics, and regulatory or audit‑driven reporting environments preferred.
  • Familiarity with fraud detection systems, alert/case management tools, or transaction monitoring platforms is a plus.
  • Ability to thrive in a fast‑paced startup environment.
Salary and Benefits

Salary range: $60,000 – $100,500. The range reflects the…

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