Fraud Investigation & Detection Analyst

Teamware Solutions

2 - 5 years

2 - 7 Lacs

bengaluru karnataka india

Posted:1 week ago| Platform: Foundit logo

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Skills Required

fraud investigation detection tools investigative services data analysis communication skills analytical abilities

Work Mode

On-site

Job Type

Full Time

Job Description

Fraud Investigation & Detection Analyst

Key Responsibilities

Conduct in-depth
investigations into suspicious transactions, activities, and accounts
to identify potential fraudulent patterns and schemes.
Utilize various
fraud detection tools and systems
to monitor, analyze, and interpret transactional data and user behavior.
Develop and refine
fraud detection rules and alerts
within fraud monitoring platforms to enhance detection capabilities.
Prepare comprehensive
investigation reports
documenting findings, evidence, and recommended actions.
Collaborate with internal teams (e.g., Risk, Compliance, Operations, Legal) and external entities (e.g., law enforcement, financial institutions) to resolve cases.
Stay updated on emerging fraud trends, sophisticated attack vectors, and relevant regulations to continually improve detection strategies.
Contribute to the development and implementation of anti-fraud policies, procedures, and training.
Assist in the recovery of losses due to fraud and support the prosecution of fraudulent actors where appropriate.

Qualifications

Proven experience as a
Fraud Investigator, Fraud Analyst, or Detection Analyst
in a financial services, e-commerce, or risk management environment.

Skills Required:

Strong analytical and investigative skills
with a keen eye for detail and identifying anomalies.
Experience with
fraud detection methodologies, tools, and systems
(e.g., rule-based engines, machine learning-driven platforms).
Proficiency in
data analysis
and reporting, including advanced use of Excel, and familiarity with SQL for data extraction.
Solid understanding of common
fraud types
(e.g., identity theft, account takeover, payment fraud, friendly fraud) and prevention techniques.
Excellent
communication skills
(written and verbal) for report writing and collaborating with diverse stakeholders.
Ability to handle sensitive information with discretion and maintain confidentiality.
Strong problem-solving abilities and decision-making skills under pressure.

Preferred Skills:

Certification in Fraud Examination (CFE) or other relevant anti-fraud certifications.
Experience with big data analytics tools (e.g., Splunk, Hadoop) for large datasets.
Knowledge of relevant regulations and compliance requirements (e.g., AML, KYC, PCI DSS).
Familiarity with link analysis tools or data visualization software for complex investigations.

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