HC

Walkin Drive for Escalation Support - Fraud analysis

HCL Technologies Limited
Bangalore4-8 LPA Posted 16 Jul 2026
FULL TIME
escalation resolution
fraud investigation
identity fraud
Escalation Management
Fraud Prevention
+3 more

Job Description

HCLTech | Walk-In Drive | Escalation Support - Fraud analysis | 18th Jul 26 | Bangalore

Interested candidates can walk in for an interview on:

Date: 18th Jul 26 (Saturday)

Timing: 11:00 AM - 3:00 PM

Walk-In Address: HCL Technologies, Kadubeesanahalli Cessna Business Park, Durga Coral Apartment C Block 9 Kadubeesanahalli Road, Bengaluru, Karnataka

Contact Person: Vignesh

Please carry:

  • Updated Resume (Hard copy)
  • 1 ID Proof (Do not bring any laptops, pen drives, or electronic devices)

Job Description – Escalation Support – Fraud Ops

Designation – Analyst/Sr Analyst

Work Location – Bengaluru (Cessna business park)

Work From Office (5 days)

Shifts – Night Shifts (PST Time zone)

Summary

The Escalation support in Fraud/Identity Verification environment is responsible for investigating complex and high-risk identity verification cases that require advance review beyond the stand process

Responsibilities

· Review and investigate escalated Identify verification and fraud related cases requiring advance analysis

· Validate customer identities through document authentication, account analysis and risk assessment

· Analyst fraud indicators, behavioral patterns, account activity and verification results to identify fraudulent and suspicious activity

· Further escalate high priority fraud threats and coordinate with relevant teams

· Provide guidance and support to Analysts and Sr Analysts on complex, ambiguous fraud scenarios

· Identify emerging fraud trends and recommend process improvements to strengthen fraud prevention controls

· Ensure compliance with identity verification standards, policies and regulatory requirements

Skills Required

  • 1-6 years of overall experience with a minimum of 1-year relevant experience
  • Exceptional communication skills
  • Good knowledge of cybersecurity and network
  • Familiarity with fraud typologies (ATO, abuse, synthetic identities, etc.)
  • Experience in MS Office
  • Strong problem-solving and decision-making skills

Education: Bachelor's degree

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