Fraud Intelligence Research Analyst

il y a 1 semaine

Paris, Île-de-France BioCatch Temps plein

We are expanding our Fraud Intelligence Unit and need passionate fraud fighters to join our team.

Reporting to the Global Fraud Intelligence Director, you will be responsible for the research and investigation of global fraud trends to assist in the creation and development of marketing and thought leadership content that supports our sales and marketing programs. This includes analyzing BioCatch data from all geographies to identify key trends, uncover interesting insights, and ultimately tell powerful stories about stopping fraud.

Key responsibilities:

  • Analyze BioCatch data on a global and regional level.
  • Conduct research and analysis of data from external sources.
  • Identify fraud trends and data-driven insights that will drive a variety of materials, including our Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies of real-life frauds and scams.
  • Create written content that showcases the results of data analysis and tells compelling stories.
  • Present findings in internal forums as well as externally at BioCatch events.
  • Become an internal conduit for all intelligence sharing across BioCatch teams.
  • Build and maintain a data repository and self-service dashboard, empowering internal teams with access to fraud data.
  • Identify opportunities and implement process efficiencies and automation in data analysis.
Requirements
  • A bachelor's/master's degree in a STEM field and/or self-directed technology-focused education in programming for data analytics, with a passion for fighting fraud
  • Understanding of statistical modelling techniques
  • Experience with SQL to an intermediate/advanced level
  • Experience with Python and/or R (advantageous)
  • Experience working with financial institutions' fraud departments preferred
  • Strong written and verbal presentation skills
  • Good communications and teamwork
  • Self and a quick learner
  • Second/third languages preferred

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