Signals Intelligence Specialist

Meta

Sydney

On-site

AUD 180,000 - 240,000

Full time

13 days ago

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Job summary

Meta is seeking a Signals Intelligence Specialist to analyze and disrupt global scam networks. You will work with a cross‑functional, law-enforcement‑facing team within a technology environment and leverage advanced AI tools to derive strategic insights from large datasets.

You will collaborate across the company to identify trends in online harms and translate findings into actionable recommendations for improving platform safety and enforcement.

Qualifications

  • 8+ years researching, investigating, and analyzing online harms.
  • Experience in building relational databases and data analysis.
  • Proficient in Python/SQL and AI/ML concepts.

Responsibilities

  • Analyze trends in online scams and criminal networks.
  • Develop and deliver written and oral briefs for senior leaders.
  • Collaborate across teams to improve platform safety.
  • Ensure responsible, ethical AI practices in analyses.

Skills

Intelligence analysis
Data analysis
Python
SQL
Threat intelligence
Cross-functional collaboration
Policy communication

Education

Bachelor's degree in Computer Science or related field

Tools

Python
SQL
Relational databases

Job description

Our Intelligence, Safety, and Signals team is looking for a Signals Intelligence Specialist to help analyze, detect, and disrupt networks of criminal scammers around the globe. You will enjoy working with a well-established law enforcement-facing team within the technology sector, and have access to cutting-edge technology designed to detect nefarious online activities. The ideal candidate will have a background in intelligence analysis, experience conducting various forms of data analysis on large networks of nefarious actors, as well as experience in deriving strategic-level insights from quantitative datasets.

This role is highly cross-functional and will be expected to work with teams across the company to identify key trends in the law enforcement space that can make the platform safer.

  • 8+ years of experience researching, investigating, and analyzing trends related to various online harms
  • 2+ years of experience developing and maintaining relational databases
  • Background in conducting data analysis using large databases
  • An understanding of programming languages underpinning our artificial intelligence work such as Python and/or SQL
  • Experience in threat investigation/threat intelligence work in a major government or technology company
  • Experience developing and delivering written and oral communications to analytic counterparts, technical audiences, senior leaders, and policymakers
  • Understanding of artificial intelligence and machine learning methods
  • Demonstrated ability to build partnerships with technical and non-technical counterparts across large organizations in order to solve difficult problems
  • Experience performing social network analysis
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Degree in computer science, computer engineering, data science, or at least 2 years of equivalent work experience in computer science, data science, or a related technical field
  • Understanding of basic cyber fundamentals such as TCP/IP and the OSI Model
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience working on financial fraud and scams issues
  • Experience using artificial intelligence systems to improve detection and enforcement of adversarial networks
  • Understanding of legal processes used by law enforcement agencies
  • Experience developing processes for sharing information and analytic insights across large organizations
  • Experience in counterterrorism or combatting organized criminal networks
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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