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Threat Analyst (Mobile Malware)

threatfabric
Companythreatfabric
CategoryUncategorised
LocationAmsterdam
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted5 Dec 2025
Last verified2 Aug 2026
SourceEmployer ATS (personio)
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Description
Reverse engineer malware. Hunt emerging threats. Track cybercriminals. Join ThreatFabric and turn deep technical analysis into real-world protection against the mobile fraud and malware attacks targeting millions of people every day. We help the world's leading banks stay ahead of fraudsters, scammers, and cybercriminals. Our technology protects millions of users every day by detecting fraud, malware, and emerging attack techniques before damage is done. We do this by combining 15 years of extensive research with our own smart software.  At ThreatFabric, we're not just shaping the future of cybersecurity - we're defining it. With our headquarters in the vibrant city of Amsterdam, ThreatFabric stands at the forefront of combating online fraud, mobile malware, and threat intelligence. About the job The Position: Threat Analyst - (Mobile Malware) Position: Full-time | 40 hours per week Location: Amsterdam, Netherlands | Work From Home (2–3 days per week in the office) Salary Range: 70k - 90k annualy As a Threat Analyst diving into the world of Mobile Malware at ThreatFabric, you will analyze malicious code targeting mobile platforms, uncover threat actor techniques, and transform complex technical findings into clear, actionable intelligence for customers and internal stakeholders. You will play a critical role in uncovering the latest mobile threats, predicting shifts in the threat landscape, and enhancing our detection capabilities. You will work closely with internal security, engineering, and intelligence teams to ensure stakeholders stay informed and protected against emerging mobile threats.   Responsibilities Your key responsibilities will include: Performing in-depth reverse engineering of Android and iOS malware using tools such as JEB, Ghidra, JADX, Frida, and dynamic analysis frameworks. Conducting static and dynamic malware analysis to uncover functionality, behavior, and indicators of compromise (IOCs). Collecting, correlating, and analyzing threat intelligence from open-source, proprietary, and internal data sources. Identifying and tracking mobile threat actors, campaigns, and emerging malware families. Performing proactive threat hunting to uncover new, unknown, and evolving mobile threats. Conducting investigations based on customer requests and delivering clear, actionable results to support their anti-fraud strategies. Producing high-quality reports, including detailed technical analyses, threat summaries, and customer-facing deliverables. Communicating findings clearly to technical and non-technical audiences, including customers, leadership, and cross-functional teams. Collaborating with internal teams to improve visibility on the threat landscape and enhance detection capabilities. Staying up to date with developments in mobile malware, cybercrime trends, and attacker Modus Operandi.   What We Offer A 12-month employment contract with the intention to extend. Subject to mutual satisfaction, this may lead to a permanent position. A competitive salary 70k - 90k annualy 25 holidays per year. 8% holiday allowance (included in annual salary). A Pension Scheme A stimulating and supportive work environment that encourages growth and development. The opportunity to make a meaningful impact in a rapidly growing tech company. Flexible Remote / Hybrid work-from-home options to promote work-life balance. Flexible working hours. Active ThreatFabric events and FitFabric bootcamps. Active knowledge-sharing huddles. Technical Skills Proven experience in reverse engineering mobile applications, especially mobile malware. Experience with industry-standard reverse engineering tools such as JEB, Ghidra, JADX, Frida, and dynamic analysis frameworks. Basic proficiency in scripting languages such as Python and Bash for automation, data parsing, and analysis tooling. Would be a bonus: Strong knowledge of Android and/or iOS internals, mobile security models, and common mobile at
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