Intern - Fraud Data Analyst

WEX Inc. is a global commerce platform that has been simplifying the way businesses operate for over 40 years. Our purpose is simple: to reduce administrative burdens, streamline payments, and manage mobility.

With a team of over 7,200 professionals across 16 countries. Our specialties are employee benefits, business payments, and fleet/mobility solutions. We support more than 20 million SaaS accounts, 8 million Health Savings Accounts, and 19+ million vehicles worldwide. We're a growing company with a history of innovation and a focus on our customers, making this a great place to grow your career.

The WEX Summer Internship Program: Learn, Lead, and Make an Impact

Our 13-week paid internship program, running from late May to mid-August, is a chance for you to gain real-world experience and develop your skills. Recruiting begins in January and continues through March at our various locations across the U.S.

You won't just be a bystander; you'll work on impactful projects and contribute to WEX's mission. We provide mentorship, professional development, and weekly learning experiences to help you build confidence and leadership skills. High-performing interns may even get the chance to lead their own initiatives.

We offer remote, hybrid, and onsite options for flexibility, and our goal is to bring top interns back full-time or offer them extended roles during the school year. Imagine starting your career with a company that's building what's next. Your future starts here.

About the team/role:

As a Fraud Data Analytics Intern, you will join the Fraud Analytics team for the summer, where you will have the opportunity to work alongside experienced data analysts learning how to blend complex data, do detailed data analysis, and create actionable dashboards. We are looking for an undergraduate level student who is passionate about data, excited to learn more about the FinTech industry, and interested in learning more about fraud analytics.

How You'll Make an Impact

Data Support & Insight Generation:

• Identify Trends: Help connect business problems with data by performing guided analysis on fraud detection.

• Support Analysis: Assist in root cause analysis for specific fraud events to help the team improve coverage and efficiency.

• Blend Complex Data: Learn how to interact with different types of data structures and blend them together accurately and efficiently

Reporting & Dashboarding:

• Maintain Visibility: Help update and maintain dashboards that track key metrics like fraud loss performance.

• Monitor Trends: Observe system KPIs and flag performance shifts to senior team members.

• Documentation: Assist in documenting data definitions and reporting logic to ensure team-wide consistency.

Experience You'll Bring

Education:

• Currently pursuing a Bachelor's degree in a quantitative field (e.g., Data Science, Economics, Computer Science, Statistics, or Data Analytics).

Skills & Attributes:

• Foundational Tech Skills: Basic to intermediate knowledge of SQL and Python.

• Data Visualization: Familiarity with tools like Tableau, Power BI, Looker, or Excel.

• Analytical Mindset: A natural curiosity for "solving the puzzle" and a strong attention to detail.

• Collaboration: A desire to work in a fast-paced team environment and the ability to take direction and feedback constructively.

• Interest in Fraud: An interest in fraud typologies (Account Takeover, synthetic identity, etc.) and risk management is a plus.