Fraud and Digital Acquisition Analyst

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November 13

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WEX

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Transport • Finance • Fintech

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

5001 - 10000 employees

Founded 1983

🚗 Transport

💸 Finance

💳 Fintech

💰 $310M Post-IPO Debt on 2020-06

📋 Description

• 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 • 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 • Support the implementation of data-driven strategies that transform processes to enable efficiency and scale • Collaborate with Data Scientists to support the building and operationalization of machine learning models to solve risk problems and enhance fraud detection • Partner across internal stakeholders to align analytics with business goals and support cross-functional initiatives

🎯 Requirements

• Bachelor’s degree in a quantitative field (e.g., 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 • Proficient in SQL, Python, and data visualization tools (e.g., 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 • Good project management, cross-functional communication, and analytical problem-solving skills

🏖️ Benefits

• health, dental and vision insurances • retirement savings plan • paid time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement