GEOINT Analyst, Scams in Madrid, Madrid, Comunidad de at Jobgether

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a GEOINT Analyst, Scams based in Spain.

As a GEOINT Analyst, you will help identify and disrupt organized scam operations, including romance fraud, investment scams, and large-scale criminal networks.
You will use geospatial intelligence, satellite imagery, commercial location data, and open-source intelligence to locate scam compounds and identify the people behind them.
By combining location intelligence with blockchain data and other investigative sources, you will uncover connections, track movements, and develop actionable intelligence.
Your findings will support law enforcement and government partners in targeting criminal networks and protecting victims from financial harm.
Working alongside threat intelligence specialists and investigators, you will contribute to a collaborative, mission-driven team operating at the intersection of technology, intelligence, and crime prevention.
This remote opportunity offers significant autonomy, complex investigative challenges, and the chance to apply advanced analytical techniques to real-world threats.
You will thrive in a fast-paced, international environment where initiative, sound judgment, AI fluency, and high-quality intelligence directly contribute to meaningful outcomes.

• Locate and monitor scam compounds: Use satellite and aerial imagery, geolocation techniques, and open-source geospatial data to identify scam facilities and track changes over time, including construction, expansion, and relocation following law enforcement raids.

• Conduct location-based investigations: Leverage commercial location data, mobile advertising identifiers, bidstream data, IP geolocation, and other location-bearing telemetry to associate people and devices with specific locations and establish patterns of activity.

• Develop intelligence on criminal networks: Combine geospatial intelligence with blockchain attribution, open-source intelligence (OSINT), and commercially available datasets to identify operators, controllers, associates, and movement patterns.

• Connect investigative leads: Pivot from individual addresses, IP addresses, photographs, coordinates, or victim reports to uncover broader networks, identify relevant locations, and determine the individuals responsible for criminal operations.

• Build actionable targeting packages: Transform complex, multi-source findings into structured intelligence products that support investigative priorities, operational planning, and disruption activities.

• Collaborate with intelligence specialists: Work closely with threat intelligence analysts, cyber threat intelligence specialists, and all-source investigators to translate disruption strategies into actionable leads for law enforcement and government partners.

• Apply advanced analytical methods: Correlate disparate datasets, evaluate evidence, assess confidence levels, and document defensible analytical conclusions and attribution assessments.

• Leverage AI in investigative workflows: Use AI tools to accelerate research, synthesize information, structure complex problems, improve analytical quality, and produce intelligence outputs more efficiently.

• Maintain clear intelligence documentation: Prepare concise investigative memoranda, attribution reports, and operational leads that explain analytical methods, supporting evidence, confidence levels, and recommended next steps.

• Support time-sensitive operations: Participate in regular team coordination and asynchronous updates, document work in investigative systems, and provide additional availability during critical disruption windows when required.

• Relevant professional experience: 3–5 years of hands-on experience in geospatial intelligence (GEOINT), imagery analysis, or location-based targeting, gained through military intelligence, government intelligence agencies, law enforcement, or an equivalent private-sector intelligence environment.

• Geolocation and imagery analysis: Proven ability to geolocate photographs, videos, IP addresses, and coordinates accurately, explain the methodology used, and communicate the confidence and limitations of findings.

• Commercial location data expertise: Experience working with mobile advertising identifiers, bidstream data, or other commercially available location datasets is strongly preferred, particularly when combined with traditional GEOINT capabilities.

• Open-source investigative skills: Ability to conduct effective investigations using open-source and commercial tools, especially when classified systems or government datasets are unavailable.

• Tactical and creative problem-solving: Demonstrated ability to move from individual data points to broader network-level insights, uncover hidden relationships, and identify the people behind organized criminal operations.

• Link analysis and data correlation: Strong understanding of link analysis, pattern recognition, and multi-source intelligence fusion to develop well-supported, actionable targeting packages.

• Communication and reporting: Excellent written and verbal communication skills, with the ability to explain analytical methods, evidence, confidence levels, and conclusions clearly to both technical and non-technical audiences.

• AI proficiency: Practical experience using AI tools to improve investigative workflows, synthesize data, solve analytical problems, and accelerate the production of high-quality intelligence. You should be able to demonstrate the impact of AI on your work.

• Cryptocurrency knowledge: Familiarity with cryptocurrency investigations and blockchain intelligence is an advantage, although specialized on-chain investigative techniques can be learned on the job.

• Regional and criminal-network knowledge: Familiarity with scam compounds in Southeast Asia or Chinese-operated criminal networks is beneficial.

• Autonomy and adaptability: Ability to work independently, manage changing priorities, exercise sound judgment, and deliver high-quality results in an environment characterized by ambiguity and urgency.

• Collaboration and accountability: A strong sense of ownership, attention to detail, openness to feedback, and the ability to work effectively with distributed, cross-functional teams.

• Location and work authorization: Based in the Netherlands, with existing authorization to work in your country of residence. The position is part of a distributed international team, with primary collaboration hours overlapping US Eastern or Central time zones.

• Remote-first flexibility: Work remotely from the Netherlands as part of an international, distributed team.

• Mission-driven work: Contribute directly to identifying and disrupting organized scam networks, supporting investigations, and helping protect victims of financial crime.

• High-impact responsibilities: Take ownership of complex intelligence investigations whose findings can inform law enforcement and government action.

• Advanced investigative technology: Work with geospatial intelligence, commercial location datasets, blockchain intelligence, AI tools, and specialized investigative platforms.

• Cross-functional collaboration: Partner with experienced threat intelligence analysts, investigators, engineers, and other specialists working toward shared operational objectives.

• Autonomy and ownership: Operate in a high-trust environment with substantial responsibility, direct collaboration, and limited bureaucracy.

• Professional development: Expand your expertise across GEOINT, OSINT, commercial intelligence, AI-assisted analysis, and cryptocurrency investigations.

• Fast-moving environment: Work on challenging, evolving problems where experimentation, adaptability, and timely execution are highly valued.

• Structured collaboration: Benefit from regular team meetings, asynchronous communication, documented workflows, and shared operational priorities.

• Meaningful career impact: Apply your analytical expertise to real-world security challenges at the intersection of artificial intelligence, national security, and financial crime prevention.