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nSure.ai

Fraud Researcher

nSure.ai

. Lead research into emerging fraud trends, typologies, and attack vectors .

Posted 11/8/2026full-timeTel Aviv • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in fraud detection and analysis, utilizing statistical techniques and SQL for data management. Capable of translating complex findings into actionable insights while maintaining confidentiality and working collaboratively in a fast-paced environment.

Highest-signal resume keywords
Fraud AnalysisStatistical TechniquesSQL ProficiencyPython and Pandas FamiliarityAnalytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Fraud DetectionData AnalysisStatistical TechniquesSQL DatabasesPython ProgrammingPandas LibraryRisk Metrics TrackingDeep-Dive AnalysisFraud Trend ResearchBehavioral Clustering
Soft Skills
Analytical ThinkingCommunication SkillsDetail-OrientedCreative ThinkingTeam Collaboration
Industry Keywords
Fraud TrendsFraud MitigationOperational EnvironmentConfidentialityFraud Rings

Tech Stack

Tools & technologies
PandasPythonSQL

About the role

Key responsibilities & impact
  • Lead research into emerging fraud trends, typologies, and attack vectors
  • Support the detection, investigation, and mitigation of fraudulent activity across the business
  • Conduct deep-dive analysis across large datasets and historical fraud patterns
  • Uncover fraud rings and behavioral clusters that inform detection strategy
  • Build and maintain methodologies and processes used to track the company's risk metrics
  • Track how fraud tactics shift across geographies and payment methods
  • Translate research findings into actionable insights for internal teams building or tuning models
  • Communicate complex findings clearly to technical and non-technical audiences
  • Maintain strict confidentiality around sensitive data

Requirements

What you’ll need
  • Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, Industrial Engineering, or a related field — Must
  • 4+ years of experience as a Fraud / Cyber / Defence analyst — Must
  • Experience applying statistical techniques — Must
  • Proficiency working with SQL databases — Must
  • Familiarity with Python and the Pandas library — Must
  • Strong analytical and investigative skills — Must
  • Excellent verbal and written communication skills in English — Must
  • Experience working in an operational environment — Advantage
  • Creative thinker
  • Detail-oriented
  • Ability to work independently and manage multiple priorities in a fast-paced environment
  • Team player
  • Excited by startup culture and eager to join the ride