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, audit traceability, and clear linkage to control effectiveness, including reporting on fraud losses, alert volumes, investigation outcomes, SAR referral indicators, and operational effectiveness metrics across the fraud lifecycle.
Translate complex data into actionable, executive-ready insights, while partnering cross-functionally to implement strategies, address control gaps, and enhance overall risk and fraud program performance, including identification of fraud control weaknesses, breakdowns in alerting or investigation processes, and opportunities to improve detection, escalation, and resolution outcomes.
Partner with Fraud and BSA/AML Operations, Compliance, Risk, Product, and Technology teams to ensure fraud reporting aligns with regulatory expectations and supports effective decision-making, including SAR-related considerations where applicable
Analyze fraud alert and case lifecycle data (intake, triage, investigation, disposition) 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. Master's degree preferred.
Typically requires a minimum of 8 years of related experience with a bachelor’s 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, combined with solid business acumen.
Strong written and communication skills with ability 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 is preferred.
Familiarity with fraud detection systems, alert/case management tools, or transaction monitoring platforms is a plus.
The ability to thrive in a fast-paced startup environment.
The responsibilities listed above are not all inclusive and may be changed at any time.
Salary range: $72,000 – $120,000
The salary range reflects the minimum and maximum target for a new hire in this role. Individual pay within the range will be determined by multiple factors which can include but are not limited to a candidate’s experience, qualifications, skills, and location. Your recruiter can share more about the specific salary for your location during the hiring process. Ranges may be modified in the future. This role is also eligible for an annual performance-based incentive opportunity. Pathward offers a comprehensive benefits package for eligible employees, including health insurance, 401(k)retirement benefits, life insurance, disability benefits, paid time off, and more.
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Don’t have everything listed under qualifications? If you’re excited about this role but your experiences don’t match exactly to everything in the posting, we encourage you to apply anyway. You may be just the right candidate for this or other Pathward roles. Pathward is an equal employment opportunity employer and considers candidates for roles without regard to their race, sex, national origin, ethnicity, age, disability or any other category protected by law.
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