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Walkin interview for Fraud Analyst

1.00 to 10.00 Years   Bangalore   17 Jul, 2026
HCL Technologies Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBPO / Call Center
Functional AreaRisk / Underwriting
EmploymentTypeFull-time

Job Description

    HCLTech | Walk-In Drive | Fraud Analyst | 18th Jul 26 | BangaloreInterested candidates can walk in for an interview on:Date: 18th Jul 26 (Saturday)Timing: 11:00 AM - 3:00 PMWalk-In Address: HCL Technologies, Kadubeesanahalli Cessna Business Park, Durga Coral Apartment C Block 9 Kadubeesanahalli Road, Bengaluru, Karnataka 560103Contact Person: VigneshPlease carry:
    • Updated Resume (Hard copy)
    • 1 ID Proof (Do not bring any laptops, pen drives, or electronic devices)
    Job Description Analyst Fraud OpsDesignation Analyst/Sr AnalystWork Location Bengaluru (Cessna business park)Work From Office (5 days)Shifts Night Shifts (PST Time zone)SummaryA Fraud Ops Analyst is responsible for reviewing, validating and investigating customer identities to prevent fraud, impersonation, account abuse and unauthorized access. The role combines fraud detection, risk assessment and document verification.ResponsibilitiesReview Identify verification requests, documents and supporting evidence enabling secure identity validation in line with the set policies and proceduresInvestigate suspicious accounts, identify thefts attempts, impersonations and fraudulent onboarding activitiesAnalyze risk indicators, fraud signals and patterns if anyPerform coordination of IV issuance and validation processes, ensuring proper handling of requests, alignment with fraud controls, and resolution of customer impacting issues.Identify and escalate high risk cases in line with the escalation protocols and policy exceptionsHandle customer escalations and review sensitive casesSkills Required
    • 1-5 years of overall experience with a minimum of 1year relevant experience
    • Exceptional communication skills
    • Basic knowledge of cybersecurity and network
    • Familiarity with fraud typologies (ATO, abuse, synthetic identities, etc.)
    • Hands-on experience in Excel
    • Strong problem-solving skills and judgement in ambiguous scenarios
    Education:Bachelors degreeKnow someone who would be a perfect fit Share this post!

Keyskills :
fraudfraud managementfraud monitoringfraud detectionfraud controlfraud analysisfraud preventionfraud investigation

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