Signals Intelligence Specialist

Use existing data to identify large networks of nefarious actors and activity

Regularly provide well-researched and thorough analysis on emerging trends to executive-level stakeholders and law enforcement counterparts

Provide technical and thought leadership on designing, prototyping, implementing and automating complex analyses

Use existing insights, and develop an agenda to unearth new ones, to drive engagement with law enforcement or other strategies to prevent or mitigate real world harm

Support the development of pipelines and data infrastructure to support the creation of dashboards

Create analytic notebooks using artificial intelligence to empower other analysts with advanced analytics capabilities

Plan and conduct end-to-end analyses, including gathering requirements and processing and modeling data, and preparing leadership communications on emerging scam networks and archetypes

Influence cross-functional teams through presentation of data-based recommendations

Develop quantitative metrics to help surface insights from structured datasets

Develop and maintain a network of information sources that will provide compelling insights and foresight into emerging news-worthy developments

8+ years experience researching, investigating, and analyzing trends related to various online harms

2+ years 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 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

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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

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

Experience working on financial fraud and scams issues

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience in counterterrorism or combatting organized criminal networks