Fraud Analyst at Teamware Solutions, Navi Mumbai

Teamware Solutions is seeking a skilled Fraud Analyst to join our team in Navi Mumbai. This role is crucial for protecting our clients and operations from financial fraud.

Key Responsibilities:

Fraud Detection and Case Management

• Analyze fraud alerts from surveillance systems to identify patterns, typologies, and emerging fraud schemes across various payment channels, including ACH, wire transfers, card transactions, and cryptocurrency.
• Conduct in-depth analysis of customer profiles, behaviors, and transactions to assess potential fraud risk indicators.
• Document investigation findings comprehensively and escalate suspicious cases for further review as needed.
• Collaborate closely with client Fraud Risk and Compliance teams to optimize monitoring scenarios and adjust detection thresholds.
• Propose enhancements to processes and controls to reduce false positives and strengthen overall fraud detection capabilities.

Quality, Collaboration, and Reporting

• Maintain high-quality standards for all alerts, investigations, and escalations, ensuring compliance with documentation requirements.
• Partner with investigators, compliance officers, and data analytics teams to improve the effectiveness of fraud investigations.
• Provide key insights into fraud trends and contribute to the development of management reports and dashboards.

Qualifications and Experience:

Education

• A Bachelor's degree is required. Concentrations in Finance, Accounting, Criminology, Risk Management, or a related field are preferred.

Experience

• A minimum of 3 years of experience in transaction monitoring, fraud risk management, or financial crime investigations is required. Experience within banking, fintech, or consulting/advisory firms is highly desirable.
• Familiarity with digital asset / cryptocurrency transactions is preferred.

Technical Skills

• Proficiency with transaction monitoring systems such as Unit 21, Actimize, SAS AML, FIS, Oracle Mantas, or similar platforms is essential.
• Strong skills in Microsoft Excel and data analysis are required, with the ability to manage large datasets and identify anomalies effectively.

Knowledge

• Familiarity with common fraud typologies is necessary.
• A solid understanding of fraud detection techniques, including account takeover, first-party fraud, mule accounts, and social engineering schemes, is expected.

Certifications (Preferred)

• Relevant certifications such as CAMS, CFE, CFCS, or similar fraud/AML credentials are a plus.

Desired Attributes:

• Exceptional analytical and critical thinking abilities, with comfort in working with ambiguous information.
• Strong written communication skills for clear documentation suitable for audit and regulatory review.
• A detail-oriented approach with a high degree of accuracy and accountability.
• A collaborative team player who excels in a fast-paced, investigative environment.
• A proactive mindset with the ability to suggest process improvements and contribute to risk mitigation strategies.