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Company Description
Founded in 2019 by IIT-Bombay alumni, Khatabook is India’s leading business management app with over 50 million downloads and support for 13 languages, targeting MSMEs. The company provides innovative tools for transaction tracking, automated reminders, and features like Interactive Voice Response (IVR) to simplify and improve credit collection for small businesses. Khatabook also offers fast and transparent business loans tailored to the needs of micro, small, and medium enterprises, leveraging technology and data analytics for a seamless experience. Handling $200M in daily transactions, Khatabook is making significant strides in empowering India’s MSME sector. As an employee-first organization focused on innovation and building digital Bharat, Khatabook offers an exceptional environment for career growth and contribution.
Role Description
This is a full-time, on-site position based in Bengaluru for a Fraud Analyst specializing in business loans. The Fraud Analyst will be responsible for detecting and preventing fraudulent activities within the business loan segment. Day-to-day responsibilities include investigating potential fraud cases, performing fraud analysis. The role involves analyzing complex datasets to identify fraud trends and collaborating across teams to implement robust fraud prevention mechanisms. Strong communication skills are required for reporting findings and coordinating preventive measures effectively.
Responsibilities:
Fraud Investigation & Application Review:
● Review and investigate business loan applications to identify
potential fraud risks.
● Validate applicant ownership with the business using available
documents and system data.
● Analyze KYC/BKYC documents, licenses, registrations, and
business certificates for authenticity.
● Identify discrepancies, forged documents, impersonation and
manipulated information.
● Evaluate customer behavior and interaction patterns to detect
fraud indicators.
Risk & Fraud Analysis:
● Conduct structured investigation and case analysis to determine fraud probability.
● Identify fraud typologies such as identity theft, impersonation and collusion profiles.
● Perform backlook analysis to identify recurring fraud trends, agent patterns, and suspicious customer intent.
● Recommend approve, reject, or escalation decisions based on risk assessment.
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