Fraud and Onboarding Analytics Manager

• Lead a team of analysts to develop and implement fraud detection logic, rules, and strategies across the customer lifecycle, including onboarding, transaction monitoring, and ATO (Account Takeover) prevention.

• Use advanced analytics to understand drop-off rates, conversion metrics, and fraud rates within the application platform and identify improvements that drive higher approval and automation rates without increasing fraud risk.

• Build new fraud risk models, features, and KPIs to detect and mitigate emerging fraud threats.

• Design and maintain dashboards and analytical tools that track application and fraud performance over time.

• Collaborate with technology and product teams to implement fraud controls and scoring logic directly into fraud decision engines and platforms.

• Evaluate and manage vendor data sources, tools, and scoring solutions to enhance WEX's fraud mitigation capabilities.

• Partner across internal stakeholders-Sales, Product, Marketing, Risk, Legal, and Compliance-to align analytics with business goals, communicate findings, and support cross-functional initiatives.

• Monitor performance of fraud strategies and continuously refine models, features, and detection thresholds based on observed outcomes.

Education & Experience:

• Bachelor's degree in a quantitative field (e.g., Data Science, Economics, Computer Science, Statistics, or similar) required; Master's preferred.

• 5+ years of experience in fraud analytics or financial risk modeling, preferably in fintech, commercial payments, or credit onboarding environments.

• Experience with Digital Credit Application platforms or similar customer onboarding analytics.

• Demonstrated success in using analytics to drive fraud strategy and measurable performance improvements.

• Prior experience leading analytical or cross-functional project teams.

Experience you'll bring

• Proficient in SQL, Python, and data visualization tools (e.g., Tableau, Power BI).

• Strong understanding of fraud typologies, identity theft, synthetic identity, and account takeover techniques.

• Analytical thinker with excellent problem-solving abilities and a strong grasp of statistical and modeling techniques.

• Ability to communicate complex analytical concepts to non-technical stakeholders.

• Familiarity with fraud decision platforms, third-party vendor tools, and fraud scoring techniques.

• Self-starter who thrives in a fast-paced, matrixed environment with evolving priorities.

• Strong collaboration and project execution skills.