Fraud and Onboarding Analytics Manager

About the Team/Role 

• 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.
   

How you'll make an impact

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.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $109,000.00 - $145,000.00