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About the Role
Analyze, detect, and disrupt global criminal scammer networks using cutting-edge technology. This role is highly cross-functional, requiring collaboration with internal teams to enhance platform safety and engage with law enforcement.
Responsibilities
- Identify large networks of nefarious actors and activity using existing data.
- Provide regular, well-researched analysis on emerging trends to executive stakeholders and law enforcement.
- Offer technical and thought leadership in designing, prototyping, implementing, and automating complex analyses.
- Drive engagement with law enforcement and mitigation strategies using existing and new insights.
- Support the development of pipelines and data infrastructure for dashboards.
- Create analytic notebooks with AI to empower analysts with advanced capabilities.
- Conduct end-to-end analyses, including requirement gathering, data processing, modeling, and leadership communication on scam networks.
- Influence cross-functional teams by presenting data-based recommendations.
- Develop quantitative metrics to surface insights from structured datasets.
- Maintain a network of information sources for insights and foresight into emerging developments.
Requirements
- 8+ years of experience researching, investigating, and analyzing trends related to online harms.
- 2+ years of experience developing and maintaining relational databases.
- Background in conducting data analysis using large databases.
- Understanding of programming languages like Python and/or SQL.
- Experience in threat investigation/threat intelligence in a major government or technology company.
- Experience developing and delivering written and oral communications to various audiences.
- Understanding of artificial intelligence and machine learning methods.
- Demonstrated ability to build partnerships across large organizations to solve problems.
- Experience performing social network analysis.
Skills
- Python
- SQL
- Artificial Intelligence
- Machine Learning
- Data Analysis
- Social Network Analysis
- Threat Investigation
- Threat Intelligence
- Relational Databases
- Quantitative Metrics Development
- Prompt Engineering
- Context Engineering
- Agent Orchestration
- Cyber Fundamentals (TCP/IP, OSI Model)
- Financial Fraud Analysis
- Counterterrorism
- Organized Crime Network Analysis
Location
- Remote
Work Type
- Full-time
Experience Level
- 8+ years
- 2+ years
Education Level
- Degree in computer science, computer engineering, data science, or equivalent work experience
About the Company
- Works within the technology sector.
- Has access to cutting-edge technology.
- Focuses on detecting nefarious online activities.
- Aims to make the platform safer through law enforcement collaboration.