Requirements

• Bachelor’s degree in Statistics, Computer Science, Data Science, Information Systems, Risk/Forensics, or a related field.
  

  • Added advantage: CFE, CAMS, Data Analytics, SQL/Python, Financial Crime certifications.
    

Experience:

• Previous experience in fintech or banking fraud management, Data analytics, revenue assurance or AML/transaction monitoring.
  

  • Hands-on experience with very large datasets using data analytical tools e.g., ACL or SQL or Advanced Excel or Python is essential.
    

• Leading the execution of the fraud strategy and plan.
  

• Leading fraud detection and analytical Intelligence across the Fintech ecosystem.
  

• Effective management of fraud detection tools and analytics platforms to ensure optimum utilization and efficiency.
  

• Collaboration with key stakeholders on proactive identification, incident response and investigative support.
  

• Oversight of fraud response plan and fraud awareness program.
  

• Timely reporting on insights around fraud intelligence, financial exposure and loss data to key stakeholders