Results-oriented Fraud Analyst with over 9 years of dedicated expertise in combating Seller Buyer Fraud, SPF, Counterfeit, and conducting meticulous data analysis to identify modus operandi. Known for a relentless commitment to detecting and addressing suspicious activities, I bring a proven track record of effectively reviewing and mitigating E-Commerce fraud risks
1.New MO Detection:
Identifying New emerging E-Commerce fraud patterns and developing controls by collaborating with product, analytics, and data science teams.
2. Feature On-boarding and ML Model Development:
On-boarded new features/rules and retrained/built ML models based on identified fraud signals.
3. Counterfeit and Seller Fraud:
Managing Flipkart's counterfeit and fraud track, responsible for On-boarding new Rules and Implemented proactive measures to address seller actions promptly and uphold brand integrity
4. Loss & Risk Management (SPF)
Managed the Flipkart Seller Protection Fund process, ensuring allocation of funds only to genuine sellers through regular monitoring and strategic product solutions for SPF abuse and seller Dispute Management
5. People Management:
Led a team of 5 direct reports and supervised 30 headcounts from an outsourced partner team, conducting regular weekly business review meetings with vendor teams.
6. Trade mark Infringement : Manged and responsible for handling escalations from external legal and brands with respect to IP rights and trade mark copyrights
7. Customer/Seller Experience: Handled the escalation tracks for both buyer & seller side actions by ensuring the minimal impact on CSAT/SSAT, NPS, Pain Index & False Positive
8. Rating and Reviews : Accountable for reviewing and actioning against the fake rating and reviews on the Platform from Suspicious seller and Buyer's
1. Rewarded for Identifying and solving an industry level Fraud (Debit Fraud) reducing a Loss of 6Cr to the business monthly.
2. Sucessed in Creating a Image model with DS support which analyses the images shared across different claims and rejects the duplicate claims, Monthly impact 80L
3. Rewarded for Solving Platform level RTO losses across worth 2Cr due to Catalog Issues