Mobile Security Engineer Intern – Forensics

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.