---
title: "Diwanshu D - Lead Fraud & Risk Investigator in India | Tal"
description: "Meet Diwanshu D, Fraud & Risk Investigator | Team Lead (12) | Trust & Safety Program Manager | AML • ATO • KYC • Sanctions | $1.62M Recovered | Expedia | Ex-Amazon, Amex based in India."
image: "https://tal.club/meet/diwanshu-1/share-image"
---

# Diwanshu D on Tal

## 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

[View the original profile](https://tal.club/meet/diwanshu-1)

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