Fraud Analyst

About the role

Join a fast‑growing Identity and Access Management (IAM) company that is redefining password‑less security for global enterprises. As a Fraud Analyst you will work at the intersection of biometrics, behavioral analytics, and next‑gen identity orchestration, helping protect millions of users from sophisticated attacks.

Key responsibilities

• Conduct hands‑on security, fraud and detection research on web and mobile platforms.
• Identify and develop new security and fraud signals based on browser and mobile behavior.
• Analyze browser internals, fingerprinting techniques, and client‑side web security vulnerabilities.
• Instrument native Android and iOS applications, use emulators and device‑spoofing tools to reproduce attack scenarios.
• Collaborate with engineering teams to integrate detection mechanisms into the IAM product.

Required profile

• 3+ years of practical experience in security research, fraud detection, reverse engineering or a related technical role.
• Strong attacker mindset with knowledge of automation, AI agents, spoofing and anti‑detection techniques.
• Ability to reason about modern open‑source browsers and rendering engines.

Required skills

• Deep familiarity with Chromium, WebKit, Blink or Gecko browsers.
• Experience with JavaScript runtime behavior, browser automation and fingerprinting.
• Hands‑on work with native Android and iOS platforms, mobile OS behavior, emulators and device spoofing.
• Proficiency in reverse engineering and low‑level platform APIs.

What we offer

• Secure, vetted client projects with reliable, on‑time payments.
• Career support and assistance in finding new opportunities that match your goals.
• Legal guidance for independent contractor or sole‑proprietorship status, including tax advice.
• Professional development such as English courses, team‑building events and growth opportunities.