About the job
Who We Are:
Bandwidth, a previous recipient of the “Best of EC” award, is a pioneering global software company that empowers enterprises to deliver unparalleled experiences through voice, messaging, and emergency services. With a presence in over 65 countries and coverage of more than 90 percent of the global economy, we uniquely provide an owned communications cloud that features advanced automation, AI integrations, global reach, and premium human support. Bandwidth is relied upon for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!
At Bandwidth, your individuality matters when you join the BAND. We celebrate diversity and encourage our BANDmates to embrace their authentic selves. Join us and be part of something great! #jointheband
What We Are Looking For:
As a Summer 2026 Fraud Analyst Intern within Bandwidth's Fraud Mitigation team, you will play a crucial role in combating fraud and unwanted traffic across Bandwidth’s network. By joining this team, you will gain insights into how we monitor our network for fraudulent activities, identify new patterns, and thwart fraudsters effectively.
What You'll Do:
- Contribute to data analysis efforts aimed at enhancing Bandwidth’s ability to detect and prevent fraudulent and unwanted traffic.
- Develop and refine automation tools that alert our Fraud Analysts to potentially fraudulent activities.
- Assist in formulating requirements for new tools, methodologies, and visualizations to boost the efficiency of Fraud Mitigation.
- Learn to identify patterns and detect fraudulent anomalies.
What You Need:
- Currently pursuing a Bachelor’s or graduate degree in Computer Science, Statistics, Analytics, or a related field focused on fraud prevention.
- A passion for preventing, identifying, and addressing fraud and unwanted activities.
- Familiarity with analytical methods to recognize trends, statistical significance, and anomalies.
- Comfortable working with large datasets.
- Experience with business intelligence applications such as Sigma, Domo, Tableau, or PowerBI to present insights that drive informed decision-making.
Bonus Points:
- Experience in Python or other programming/scripting languages for manipulating large datasets.
- Familiarity with SQL/Snowflake.
- Experience in fraud detection/investigation.

