Fraud Analyst

Teamware Solutions

2 - 7 years

2 - 7 Lacs

mumbai maharashtra india

Posted:16 hours ago| Platform: Foundit logo

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Skills Required

fraud detection transaction monitoring risk management financial crime analysis data analysis

Work Mode

On-site

Job Type

Full Time

Job Description

Responsible for identifying, investigating, and preventing fraudulent activities across banking products and digital platforms. The role involves analyzing financial information to support commercial decisions and monitoring financial movements.

Key Responsibilities

Fraud Detection, Alert Analysis & Case Management

Review fraud alerts from surveillance systems to identify patterns, typologies, and emerging fraud schemes across payment channels (ACH, wire, card, crypto).
Conduct detailed analysis of customer profiles, behaviors, and transactions to assess fraud risk indicators.
Document findings and escalate cases for further investigation when warranted.
Collaborate with clients Fraud Risk and Compliance teams to refine monitoring scenarios and thresholds.
Recommend process enhancements and control improvements to minimize false positives and strengthen detection capability.

Quality, Collaboration & Reporting

Ensure all alerts, investigations, and escalations meet quality standards and comply with documentation requirements.
Partner with investigators, compliance officers, and data analytics teams to enhance investigative outcomes.
Provide insights on fraud trends and contribute to management reports and dashboards.

Qualifications & Experience

Education:
Bachelor's degree required (Finance, Accounting, Criminology, Risk Management, or related preferred).
Experience:
35 years in transaction monitoring, fraud risk management, or financial crime investigations (banking, fintech, consulting/advisory).
Familiarity with digital asset / crypto transactions preferred.

Technical Skills

Proficiency with transaction monitoring systems (Unit 21, Actimize, SAS AML, FIS, Oracle Mantas, or similar).
Strong Excel and data analysis skills; ability to work with large datasets and spot anomalies.
Knowledge of fraud typologies.
Understanding of fraud detection techniques (account takeover, first-party fraud, mule accounts, social engineering).

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Fraud Analyst