Signals Intelligence Specialist

About the Role

Join the Intelligence, Safety, and Signals division as a Signals Intelligence Specialist focusing on scrutinizing, identifying, and breaking up global criminal scam operations. You'll collaborate with a well-established team dedicated to law enforcement support within a technology company and use advanced technology to detect malicious online behavior. This role involves extracting strategic insights from large complex datasets and demands a cross-functional approach working across multiple teams to recognize critical trends enhancing platform safety.

Key Responsibilities

• Analyze existing data to uncover extensive networks of malicious actors and fraudulent activities.
• Deliver detailed, researched reports on emerging trends to senior executives and law enforcement partners regularly.
• Lead and innovate in developing, prototyping, implementing, and automating sophisticated analytical methods.
• Leverage current insights and develop new investigative strategies to enhance engagement with law enforcement and reduce real-world risks.
• Assist in building data pipelines and infrastructure to facilitate the creation of informative dashboards.
• Create AI-driven analytic tools and notebooks to empower fellow analysts with enhanced capabilities.
• Manage end-to-end projects including requirements gathering, data processing and modeling, and presenting findings on scam networks and typologies to leadership.
• Advocate for data-informed decision-making through persuasive presentations to cross-functional teams.
• Develop quantitative indicators to extract actionable insights from structured data sources.
• Maintain and expand a network of information resources to stay ahead of emerging significant developments.

Required Qualifications

• Minimum eight years in research and analysis of online harm trends.
• At least two years experience managing relational database systems.
• Proficiency in data analysis involving large databases.
• Familiarity with programming languages such as Python and SQL relevant to AI applications.
• Background in threat intelligence or investigative work in government or tech sectors.
• Experience in communicating complex analyses to varied audiences including senior leaders and policymakers.
• Knowledge of artificial intelligence and machine learning principles.
• Proven ability to collaborate with both technical and non-technical teams to address complex challenges.
• Skills in social network analysis.

Preferred Qualifications

• Demonstrated use of AI to improve workflow efficiency and quality outcomes.
• Experience enforcing ethical AI practices including risk and bias assessments.
• Proficient in employing AI tools for detection and enforcement against adversarial networks.
• Understanding of law enforcement legal procedures.
• Experience sharing analytic insights across large organizations.
• Academic degree or equivalent work experience in computer science, computer engineering, or data science.
• Knowledge of fundamental cybersecurity concepts such as TCP/IP and the OSI model.
• Experience tackling financial fraud and scam cases.
• Continuous development of AI skills via advanced techniques and keeping up-to-date with new AI technologies.
• Background in counterterrorism or disruption of organized crime networks.

About Meta

Meta develops technologies enabling connection, community building, and business growth globally, evolving beyond traditional social media platforms to immersive technologies like augmented and virtual reality. Meta offers a future-forward career opportunity focused on reimagining digital social interactions beyond current physical and digital limitations.

Compensation and Benefits

Compensation is based on skills, qualifications, experience, and location, reflecting base salary without bonuses or equity incentives. Additional benefits offered by Meta support employee wellbeing.