Fraud Analyst

Department Icon Risk Management & Compliance
Posted: 11 months ago
2-5 years
Mumbai(Powai)
Risk Management & Compliance
work from office
Full Time

Posted: 11 months ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

About the Role

We are looking for a highly analytical and detail-oriented Fraud Analyst to help identify, investigate, and prevent fraudulent activities across various banking and digital platforms. The role involves reviewing alerts, analyzing transactions, and supporting fraud risk management efforts.

Key Responsibilities

Fraud Detection & Case Management

  • Review fraud alerts from monitoring systems and identify suspicious patterns (ACH, wire, card, crypto, etc.)
  • Analyze customer profiles, behaviors, and transactions to assess fraud risk
  • Document findings clearly and escalate high-risk cases for further investigation
  • Work with Fraud Risk and Compliance teams to improve alert scenarios and reduce false positives
  • Recommend process enhancements to strengthen fraud detection

Quality, Collaboration & Reporting

  • Ensure all investigations meet quality and documentation standards
  • Collaborate with investigators, compliance teams, and data analysts
  • Provide insights on fraud trends and support management reports and dashboards

Qualifications & Experience

Education

  • Bachelors degree required
  • Preferred fields: Finance, Accounting, Criminology, Risk Management, or similar

Experience

  • 3–5 years in fraud analysis, transaction monitoring, or financial crime investigations
  • Experience in banking, fintech, or consulting environments preferred
  • Familiarity with digital asset/crypto transactions is a plus

Technical Skills

  • Hands-on experience with systems such as Unit21, Actimize, SAS AML, FIS, Oracle Mantas (or similar)
  • Strong Excel and data analysis skills
  • Ability to work with large datasets and identify anomalies

Knowledge

  • Fraud typologies and risk indicators
  • Fraud schemes: account takeover, first-party fraud, mule accounts, social engineering

Preferred Certifications

  • CAMS, CFE, CFCS, or similar fraud/AML certifications

Skills

Fraud InvestigationFraudFraud ManagementFraud ControlFraud AnalyticsAnalyticsInvestigationControl

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