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Investigative Analyst Intern - Summer 2023

OVERVIEW

As an Investigative Analyst Intern, you will conduct in-depth research on transnational illicit networks and conflicts. You will work with a supervising analyst on a project in one of five analytical cells: Wildlife Crimes, Organized Crime & Corruption, Conflict Affected States, Natural Resources, State-Sponsored Threats, or Human Security. From wildlife trafficking to nuclear proliferation, you will produce timely analysis on real-world issues and have the opportunity to make an impact.
In addition to attending a series of trainings on methodologies for open source data analysis and tools such as Palantir and Windward, Investigative Analyst Interns receive one-on-one mentorship to advance their professional development. 

PAST C4ADS INVESTIGATIVE ANALYST INTERNS HAVE: 

  • Contributed research to public reports
  • Drafted dossiers on networks engaged in human trafficking; illegal, unreported, and unregulated fishing; kleptocracy; arms smuggling; and more
  • Briefed law enforcement and civil society partners 
  • Produced data visualizations 
  • Developed standard operating procedures for accessing specialized datasets around the world 

 

WHAT YOU’LL DO

  • Learn and apply advanced open source investigative methods to conduct detailed analysis of transnational illicit networks
  • Write a range of analytical products for government and/or civil society partners
  • Use cutting-edge analytical tools like Palantir to support research on illicit networks
  • Gain exposure to the variety and potential analytical applications of publicly available information (PAI)

WHAT WE’RE LOOKING FOR

  • Dedication to our values and passion for our mission
  • Overseas work or research experience
  • Native or professional-level fluency in Arabic, Russian, Spanish, French, Bahasa, or other foreign languages to support research
  • Track record of examining illicit networks or conflict
  • Exceptional oral and written communication skills
  • Undergraduate studies in any related field
  • Proven interest in or experience with data and technology
  • Experience with geospatial analysis is a plus, but not at all required!