Fraud Analyst

Teamware Solutions

3 - 5 years

3 - 8 Lacs

mumbai maharashtra india

Posted:15 hours ago| Platform: Foundit logo

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Skills Required

fraud detection transaction monitoring data analysis case management aml/fraud systems risk assessment

Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a highly analytical and detail-oriented Fraud Analyst to join our Client Service Operations team. The role focuses on identifying, investigating, and preventing fraudulent activities across banking products and digital platforms. The ideal candidate will have strong knowledge of U.S. financial regulations, fraud typologies, and data analysis tools.

Key Responsibilities

Fraud Detection, Alert Analysis & Case Management

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

Quality, Reporting & Process Improvement

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.
Suggest process improvements and contribute to risk mitigation strategies.

Qualifications & Experience

Bachelor's degree required; concentration in Finance, Accounting, Criminology, Risk Management, or related field preferred.
35 years of experience in transaction monitoring, fraud risk management, or financial crime investigations, preferably within banking, fintech, or consulting/advisory firms.
Familiarity with digital assets / crypto transactions is preferred.

Technical Skills & Knowledge

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 identify anomalies.
Knowledge of fraud typologies and detection techniques (account takeover, first-party fraud, mule accounts, social engineering schemes).
Certifications such as CAMS, CFE, CFCS are a plus.

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Fraud Analyst