Teamware Solutions is seeking a vigilant Fraud Investigation & Detection Analyst to join our dedicated team. You'll play a critical role in safeguarding our operations and clients by identifying, analyzing, and preventing fraudulent activities. This position requires strong analytical skills, attention to detail, and a proactive approach to financial crime detection.
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.
