Headline

Fraud & Risk Investigator | Team Lead (12) | Trust & Safety Program Manager | AML • ATO • KYC • Sanctions | $1.62M Recovered | Expedia | Ex-Amazon, Amex

About

Most fraud slips through because detection systems only catch what they've already seen. For 5.5+ years across travel, payments, and e-commerce — at Expedia, American Express, and Amazon — I've specialized in finding what automated models miss. What I do: → Investigate high-value transactions for Account Takeover (ATO), Anti-Money Laundering (AML), KYC, sanctions screening, and payment fraud → Lead and coach fraud investigation teams (currently 12: 10 investigators + 2 seniors) → Build SQL/Python/Tableau reporting and guided-workflow tooling that operations and program leaders rely on → Translate root cause findings into SOPs, policy updates, and Trust & Safety program design Track record: $1.62M in fraud losses recovered across 20,000+ transactions reviewed, with recovery growing 33% year-over-year ($536K → $710K) Reviewed transaction volume grown from $5.5M to $23M 98.7% average decision quality sustained over 2.5+ years (peak 99.3%) Caught ~$130K in fraud that ML detection missed, by manually identifying model blind spots across multiple quarters Built a guided-workflow API that cut human decisioning errors 95% with 100% team adoption PMP and Lean Six Sigma Black Belt certified. I use AI tools (Claude, Gemini) to speed up investigation documentation and reporting. Open to Fraud & Risk Investigation, Fraud Operations/Team Lead, and Trust & Safety Program Management roles. Message me or connect — always happy to talk shop on fraud detection, team building, or program design.

Location

India

Work experience

Lead Fraud & Risk Investigator at Expedia Group, Sep 2023 - Present · 2 yrs 11 mos, Gurugram, Recovered $1.62M in fraud losses across 20,000+ high-value transactions by leading and coaching a 12-person investigation team, growing reviewed transaction volume from $5.5M to $23M and annual recovery 33% ($536K → $710K). Sustained 98.7% average decision quality (peak 99.3%) across 1,000+ monthly bookings reviewed for ATO, AML, sanctions, and PCI-DSS/PII compliance, by building and owning a Tableau/SQL dashboard for near-real-time SLA and quality tracking. Prevented ~$130K in undetected fraud losses by manually identifying ML model blind spots across 5 consecutive quarters, escalating findings through structured 5-Why/root cause reports presented to VP-level leadership at WBR/MBR.

Senior Fraud Analyst at American Express, Jul 2023 - Sep 2023 · 3 mos, Gurugram, Stood up a 10-person fraud investigation team for the Disney account from scratch, by designing onboarding SOPs and running structured 1:1 coaching, bringing all hygiene KPIs to green within 30 days. Identified 500+ fraudulent transactions monthly by partnering with Disney and Adidas brand-protection teams, preventing ~$163K in losses and lifting brand acceptance rate 30% in Q3 2023. Kept 20+ investigators on-SLA for complex escalations by serving as SME and authoring cross-team change-management SOPs across engineering, legal, and marketing.

Senior Fraud Analyst at Accertify, Inc., Jul 2023 - Sep 2023 · 3 mos, Gurugram

Risk Program Manager at Amazon, Apr 2023 - Jun 2023 · 3 mos, Bengaluru, Cut human decisioning errors 95% within 3 months (100% adoption) by building 3 Chrome extensions (JavaScript/AWS) integrating OSINT and investigation data sources, also reducing average handle time ~38%. Delivered 30%+ efficiency and quality gains for Amazon's Global Sunset Model by leading a cross-functional team of 5 (engineering, legal, product) as one of 1,200+ applicants selected for the SWAT transformation team. Gave stakeholders rollout visibility by directing UAT cycles and building Power BI/Salesforce/JIRA dashboards, supporting global-level performance reviews.

Investigation Specialist at Amazon, Dec 2021 - Apr 2023 · 1 yr 5 mos, Bengaluru, Maintained compliance across 1,200+ monthly seller-account reports by validating and quality-checking complaints and appeals against Intellectual properties and compliance policy standards. Improved investigation efficiency ~30% by customizing internal tool extensions for the investigation workflow. Raised team knowledge and performance by presenting weekly defect-trend and SOP-update briefings.

Transaction Risk Investigator at Amazon, Dec 2020 - Dec 2021 · 1 yr 1 mo, Bengaluru, Karnataka, India, Closed AML/KYC compliance gaps by running transaction monitoring, customer due diligence, and sanctions/legal document verification, reporting 5-Why and root cause findings to managers across functions. Mentored 2 pilot batches (20 investigators total) on Non Infringement & Notice Of Infringement. Handling Reports and Appeals, exceeding weekly targets across 2,000+ ASIN investigations. Built the Simple Select Search and Text Snippet Chrome extensions, improving average handle time ~30% across both organizations.

Education

Bachelor's of Computer Applications, Computer and Information Sciences, Maharshi Dayanand University

Science, Non medical, Govt. Boys Senior Secondary School