---
title: "Faran Hashmi - Risk Optimization Specialist in Bangalore Urban | Tal"
description: "Meet Faran Hashmi, Risk Optimization Specialist@ Yahoo | Fraud Investigation Specialist | Transaction Fraud & Account Takeover (ATO) | SQL | Trust & Safety | Power BI based in Bangalore Urban. AI stack includes antigravity, claude, and gemini."
image: "https://tal.club/meet/md-faran-hashmi/share-image"
---

# Faran Hashmi on Tal

## Headline

Risk Optimization Specialist@ Yahoo \| Fraud Investigation Specialist \| Transaction Fraud & Account Takeover \(ATO\) \| SQL \| Trust & Safety \| Power BI

## About

I am a Risk Optimization Specialist With 4\+ years of experience in financial crimes prevention and risk operations, I specialize in transaction monitoring, AML compliance, and fraud detection across payment and financial platforms\. What I Do: I investigate complex financial crimes, optimize detection rules, and analyze transaction patterns to identify money laundering, fraud, and suspicious activity\. My work bridges compliance, operations, and analytics—ensuring effective risk controls while maintaining operational efficiency\. Core Expertise: AML/KYC compliance and SAR reporting Transaction monitoring and alert investigation Fraud detection and pattern analysis Rule optimization and false positive reduction SQL\-driven data analysis and trend identification Experience Highlights: Reduced false\-positive rates by 10–15% through rule optimization and operational feedback Investigated 100\+ high\-risk alerts daily across payment fraud, ATO, and scam facilitation Conducted AML investigations including CDD, EDD, and trade\-based money laundering detection I'm passionate about using data and analytics to protect users and financial systems while continuously improving detection effectiveness\.

## Location

Bangalore Urban

## AI stack

antigravity

claude

gemini

openai

## Work experience

Risk Optimization Specialist at Yahoo, Oct 2022 \- Jan 2024 · 1 yr 4 mos, Bengaluru, • Investigated suspicious payment and account activity by analyzing advertiser behavior, transaction patterns, geographic signals, and device data to distinguish legitimate business operations from fraud and abuse\. • Conducted detailed case reviews by examining account histories, payment attempts, IP locations, device fingerprint, and user behavior to understand the intent and context behind flagged activity\. • Identified fraud typologies including device reuse networks, payment manipulation schemes, geographic inconsistencies, and coordinated account behaviors indicative of organized abuse\. • Documented investigations with clear narratives ensuring all enforcement decisions were defensible and audit\-ready\. • Conducted network\-level analysis of related accounts, payment linkages, and behavioral clusters to identify coordinated activity and layered fund movement patterns\.

Fraud Investigation Analyst at LinkedIn, Jun 2021 \- Oct 2022 · 1 yr 5 mos, India, • Investigated suspicious advertiser and payment activity for LinkedIn's Trust and Safety team, reviewing system\-generated alerts tied to account access anomalies, payment misuse, and abuse activity exposing the platform to financial and reputational risk\. • Conducted end\-to\-end investigations for LinkedIn, analysing account history, transaction activity, and login behaviour to identify fraud patterns including account takeover, card testing, and coordinated multi\-account abuse schemes\. • Used SQL to extract transaction data and validate behavioural trends across related LinkedIn accounts, determining whether suspicious activity was isolated or part of a broader coordinated abuse pattern\. • Managed high\-volume LinkedIn alert queues using a risk\-based approach, prioritizing cases involving significant financial exposure, advertising abuse, and unusual transaction behaviour to determine escalation and restriction

Transaction Processing Analyst at Concentrix, Oct 2019 \- May 2021 · 1 yr 8 mos, Bangalore Urban, • Reviewed and dispositioned AML alerts for Royal Bank of Canada, analysing transaction patterns against customer baselines to identify red flags under FINTRAC guidelines\. • Managed high\-volume TM alert queues daily, investigating suspicious transaction patterns and escalating complex cases with structured narratives and documentation within SLA targets\. • Drafted SAR narratives documenting transaction timelines, typology assessments, red flag summaries, and customer behaviour analysis aligned with RBC's internal AML policy and FINTRAC standards\. • Conducted KYC and CDD reviews for RBC retail and commercial customers, verifying identity, assessing source of funds, updating risk ratings, and escalating PEPs for Enhanced Due Diligence\. • Performed adverse media and negative news screening during periodic KYC reviews, identifying reputational and financial crime risks and escalating high\-risk customer findings with detailed supporting case documentation\.

Internship at BETA CAE Systems, Jun 2019 \- Aug 2019 · 3 mos, India

## Education

Bachelor of Engineering, AMC Engineering College \- India

[View the original profile](https://tal.club/meet/md-faran-hashmi)

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