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Investigative Analyst Internship: Spring 2022

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: Environmental Crimes Fusion Cell, Organized Crime and Grand Corruption, Conflict Finance and Irregular Threats, Natural Resources, or Counterproliferation. 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!