Fraud and Digital Acquisition Business Intelligence Analyst

Job Description

How you’ll make an impact

• Connect business problems with data to produce insightful, data‑driven analysis.
• Leverage analytics and risk models to drive operational improvements in areas such as fraud detection and customer onboarding.
• Analyze portfolio behavior to identify anomalies, emerging trends, drop‑off points, and areas for improvement across customer funnels.
• Conduct root cause analysis on performance issues and fraud events to uncover underlying causes and continuously improve coverage and efficiency.
• Identify proxy variables or creative data substitutes when ideal data is not available.
• Design and maintain dashboards and analytical tools that track overall business performance, including DCA metrics and fraud performance over time.
• Monitor system KPIs, evaluate performance trends, and recommend improvements.
• Deliver insights to the organization that optimize revenue and risk.
• Support the implementation of data‑driven strategies that transform processes to enable efficiency and scale.
• Contribute to optimizing fraud detection systems to capture fraud and minimize customer disruptions.
• Collaborate with Data Scientists to support the building and operationalization of machine learning models to solve risk problems and enhance fraud detection.
• Assist in incorporating external threat intelligence and business context into strategic recommendations.
• Partner across internal stakeholders—including Fraud, Risk, Product, Technology, Sales, Marketing, Legal, and Compliance—to align analytics with business goals and support cross‑functional initiatives.
• Communicate complex analytical concepts and findings to non‑technical stakeholders effectively.
• Build and maintain strong relationships with internal stakeholders.
• Improve capture rate of fraud or decrease false‑positive alerts by 3% in the first 100 days.
• Establish working relationships with key stakeholders across various departments.
• Gain a comprehensive understanding of WEX’s products, customers, and key business systems, including the Digital Credit Application (DCA) and fraud prevention architecture.

• Bachelor’s degree in a quantitative field (Data Science, Economics, Computer Science, Statistics, Industrial Engineering, Data Analytics, Risk Management).
• 3‑5 years of experience in business intelligence, fraud analytics, financial risk modeling, or digital operations, preferably in fintech, commercial payments, or customer onboarding environments.
• Experience with Digital Credit Application platforms or similar customer onboarding analytics is preferred.
• Experience with Artificial Intelligence and Machine Learning Solutions is desirable.

• Strong data skills:
  Proficient in SQL, Python, and data visualization tools (Tableau, Power BI, Snowflake, Data Lake).
• Proven ability to contribute to building and managing fraud rules and detection policies.
• Analytical thinker with excellent problem‑solving abilities and a strong grasp of statistical and modeling techniques.
• Highly collaborative and engaging, willing to drive execution.
• Ability to excel at detailed execution and deliver results on‑time in a fast‑paced, complex environment.
• Familiarity with fraud decision platforms, third‑party vendor tools, and fraud scoring techniques is a plus.
• Strong understanding of fraud typologies and detection principles (Account Takeover, synthetic identity, application fraud, transaction fraud).
• Good project management, cross‑functional communication, and analytical problem‑solving skills.

• Health, dental and vision insurances.
• Retirement savings plan.
• Paid time off.
• Health savings account.
• Flexible spending accounts.
• Life insurance.
• Disability insurance.
• Tuition reimbursement.
• Other benefits.

Pay Range: $64,000.00 – $85,000.00

WEX