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Forter Fraud Analyst 
Israel, Tel Aviv District, Tel Aviv-Yafo 
258791995

29.06.2025
About the role:

This is a role with significant technical aspects, but prior coding knowledge is not required - we believe the right candidates can learn everything they need to do this job well as part of our training process, and while doing the job.

What you'll be doing:
  • Invent, design, implement, and refine our system’s decisioning logic in production.
  • Conduct in-depth research into complex fraud patterns and emerging threats.
  • Leverage extensive datasets to derive actionable insights and enhance decisioning accuracy.
  • Develop and automate analytical processes to improve efficiency and scale our capabilities.
  • Collaborate with Data Science, Engineering, and other cross-functional teams to drive platform improvements.
What you'll need:
  • A psychometric score above 700 (or equivalent, e.g. GMAT).
  • Strong analytical and logical reasoning skills with a proven ability to dissect complex problems.
  • Aptitude for understanding systemic behaviors and adversarial tactics.
  • Proactive, results-oriented, and capable of independent work within a collaborative team environment.
  • Technically-capable - Python/SQL/R experience is an advantage (not a hard requirement), candidate must be comfortable with learning new technological tools.
Bonus points for:
  • SQL/Python experience.
  • Risk/intelligence experience.
  • Experience in Data analysis .
  • Familiarity with machine learning concepts.

Trust is backed by data – Forter is a recipient of over 10 workplace and innovation awards, including:

  • Great Place to Work Certification (2021, 2022, 2023, )
  • Fortune’s Best Workplaces in NYC (2022, 2023 and )
  • Forbes Cloud 100 (2021, 2022, 2023 and )
  • #3 on Fast Company’s list of “Most Innovative Finance Companies” ( )
  • Anti-Fraud Solution of the Year at the Payments Awards ( )
  • SAP Pinnacle Awards “New Partner Application Award” (2023)
  • Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)