Internships

About GeoComply

We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.

Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.

At the heart of it all is the people, united by a deep commitment to problem-solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.

The Role This is a pivotal role that places you on the front lines of protecting millions of users and our systems from sophisticated mobile fraud and adversarial attacks. As a Mobile Security Engineer Intern (Forensics) you will design, build, and operate systems that investigate, analyze, and attribute fraudulent and malicious activity across mobile platforms. This role focuses on forensic signal collection, signal integrity, attacker behavior reconstruction, and incident response on both Android and iOS environments. You will work across the full forensic lifecycle—from secure on-device signal collection to evidence preservation, large-scale data analysis, and investigative tooling—to uncover sophisticated fraud, spoofing, and abuse. Sitting at the intersection of mobile engineering, security, data analysis, and incident response, you will help identify adversarial techniques, strengthen detection systems, and protect users at scale.Our program is designed to help you discover your potential in one of the world's fastest-growing industries. Candidates with a Data Engineering, Data analyst, or Machine Learning background who are interested in the Mobile Security role are welcome to apply.