Mobile Security Engineer Intern – Forensics

1 мес. назад

VietnamWorldwideTraineeOnsite

androidiosmobile securityforensicsincident response

Internship role to design and operate systems for investigating and analyzing mobile fraud and attacks on Android and iOS platforms.

About We’re ! 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,” 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

Analyze large-scale datasets and fraud incidents to uncover attack patterns, fraud clusters, and evolving adversarial behavior, including reconstructing attacker techniques and execution paths.
Design and implement mobile SDK components to securely collect forensic-grade signals, enabling attribution of location spoofing, emulator abuse, rooted/jailbroken environments, and other environment manipulation.
Research emerging mobile fraud and evasion techniques, translating findings into actionable forensic indicators.
Build end-to-end incident response capabilities across the stack, partnering with Data Science and ML teams to translate forensic insights into technical features, rules, and detection logic.

Deep passion for investigating security incidents, hunting attackers, and uncovering sophisticated fraud, spoofing, and abuse patterns, with a strong curiosity for understanding how adversaries operate and evade defenses.
Pursuing or recently graduated with a bachelor's degree in Security Engineering and Computer Science or Computer Engineering or a similar field of study, with a strong academic foundation (e.g., solid understanding of data structures, algorithms, and fundamental security principles)
Experience with data analysis (SQL, data modeling, feature extraction).
Familiarity with data science concepts and the role of ML in detection systems
Strong English communication skills, with the ability to clearly document findings and explain technical investigations.

Experience with mobile development (Android, iOS, or cross-platform).
Familiarity with mobile security and forensics, including: Root / jailbreak detection and evasion techniques
Emulator and virtualized environment detection
Location spoofing and geolocation integrity validation
Device attestation, TEE, Secure Enclave, and hardware-backed security
Interest in incident response, threat research, or adversarial analysis.