Komal Barad
Trust and Safety Fraud Analyst at LinkedIn|| Ex-Amazon
- Role
- Trust & Safety Fraud Analyst at Linkedin at Linkedin
- Location
- Bengaluru, IN
- LinkedIn followers
- 500 followers
About Komal Barad
Detail-oriented Quality Analyst with a strong background in quality assurance and a proven track record of improving processes and ensuring product and service quality. Seeking to contribute my expertise in analysing and enhancing quality standards to a dynamic organization. Committed to utilizing my analytical skills to drive process efficiency, reduce errors, and deliver superior customer experiences while continuing to develop my skills in quality management.
Experience
Trust & Safety Fraud Analyst at Linkedin
May 2022 — Present · Bengaluru, IN
Monitoring & Fraud Detection: • Monitor user activities & transactions for any signs of fraudulent or abusive behavior.• Use various tools & data analysis techniques to detect patterns associated with fraudulent activities. Identify & monitor investigate suspicious user accounts, transactions, or content.2. Investigation & Analysis:• Conduct in- depth investigations into suspected cases of fraud or abuse.• Analyse data, user behavior, & other relevant information to gather evidence and built cases against wrongdoers.3. Policy Enforcement:• Enforce the platform’s terms of service and policies by taking appropriate actions against violators. This may involve issuing warnings, suspending accounts, or banning users who engage in fraudulent or abusive behavior. Communicate with users who may have been affected by fraudulent activity and provide them with necessary guidance and support.5. Reporting and Documentation:• Maintain detailed records of all investigations and actions taken. Generate regular and ad-hoc reports on fraud and abuse trends, as well as the effectiveness of fraud prevention measures.6. Fraud Prevention:• Develop and implement strategies and measures to proactively prevent fraud and abuse.• Work on improving the platform\'s security and fraud prevention systems.7. Collaboration:• Collaborate with other teams, including engineering, product, and customer support, to address fraud-related issues. Stay updated on industry best practices and fraud trends.9. Customer Support, Training & Awareness• Assist in resolving issues raised by customers related to fraud or abuse. Handle user inquiries and complaints related to fraud or account security. Provide training to other team members or employees on fraud prevention, detection, and reporting.
Education
Visvesvaraya Technological University
Bachelor of Engineering - BE
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