Responsibilities

  •  Analysis of large datasets using data analysis tools
  • Identification of suspicious and fraudulent transactions
  • Investigation of irregular internal and external activities
  • Conducting comprehensive staff and third-party background checks
  • Identification of revenue leakage loopholes and control weaknesses
  • Support in recovery actions and reporting
  • Collect, analyze, and interpret large volumes of data to identify patterns indicative of fraud or cybersecurity threats.
  • Conduct detailed investigations into suspicious activities, data breaches, and fraud cases to determine scope and impact.
  • Develop and utilize data models, dashboards, and reports to monitor anomalies and security incidents.
  • Maintain logs and documentation of investigation processes and findings for audit and compliance purposes.
  • Identify vulnerabilities in data management processes and recommend improvements to prevent future incidents.
  • Stay informed about emerging fraud schemes, cyber threats, and investigation methodologies.
  • Prepare detailed reports, presentations, and recommendations for stakeholders and senior management.

Qualifications

  • Bachelor’s degree in data science, Computer Science, Cybersecurity, Forensic Science, or related field.
  • 3–5 years’ hands-on experience in financial fraud analysis within a banking or financial services environment.
  • Strong analytical and investigative skills
  • Experience with data analysis tools and transaction monitoring systems
  • Excellent report writing and presentation skills