Fraud Researcher
What You'll Be Doing
Lead research into emerging fraud trends, typologies, and attack vectors to keep the company ahead of evolving threats
Support the detection, investigation, and mitigation of fraudulent activity across the business
Conduct deep-dive analysis across large datasets and historical fraud patterns to uncover fraud rings and behavioral clusters that inform detection strategy
Build and maintain the methodologies and processes used to track the company's risk metrics
Track how fraud tactics shift across geographies and payment methods, translating findings into actionable insights for teams building or tuning models
Communicate complex findings clearly to both technical and non-technical audiences while maintaining strict confidentiality around sensitive data
What We're Looking For
Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, Industrial Engineering, or a related field
4+ years of experience as a Fraud / Cyber / Defence analyst
Experience applying statistical techniques
Proficiency working with SQL databases
Familiarity with Python and the Pandas library
Strong analytical and investigative skills
Excellent verbal and written communication skills in English
Creative thinker, detail-oriented, and comfortable working independently while managing multiple priorities in a fast-paced environment
Team player, excited by startup culture
Bonus Points
Experience working in an operational environment
Ready to Apply?
To submit your application for this position, please visit nSure.ai's official website and follow their application process.