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Tier-1 bank and Bengaluru location increase competition, but specialized fraud detection reduces applicant density.
Strong financial crime and banking-specific fraud expertise required, limiting transferability outside finance and fintech.
Requires domain-specific fraud detection, rule engine and financial domain expertise, increasing filtering beyond generic data roles.
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Own detection and investigation of fraud by analyzing transactional data and identifying fraud trends.
Develop, test, and implement fraud detection rules and controls in collaboration with cross-functional teams including Data Science and Fraud Operations.
Measure and report on fraud risk and detection performance, recommending new tools and process improvements to enhance fraud prevention.
Bachelor's Degree or higher.
Experience with data analysis and fraud detection methods required.
Strong understanding of statistical methods and analytics in fraud context.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in applying data analytics to detect and prevent financial fraud in a corporate or financial services environment.
Skilled at collaborating cross-functionally with technical, operational, and management teams to design and improve fraud detection solutions.
Capable of using a variety of analytical techniques including rule engineering, forecasting, and data science partnership to mitigate fraud risks effectively.