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Manager - Revenue Assurance & Fraud

Closed for applications

Posted: 19 May 2025

Apply by: 2 Jun 2025

Expired

Job details

Contract Type

Description

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Finance, Accounting, Economics, or a related field
  • Master’s degree in a relevant field will be an added advantage
  • Certification in Fraud Management, Revenue Assurance, or Data Analytics is an added advantage
  • Leadership Course lasting not less than four (4) weeks from a recognized institution, will be an added advantage.
  • Minimum of five (5) year’s work experience in a similar role, and at least two (2) years at Assistant Manager level or a comparable position
  • Experience in tax administration and revenue collection analytics, will be an added advantage.
  • Membership of a relevant professional body where applicable



  • Develop predictive analytics to support real-time fraud prevention mechanisms and stay updated on emerging trends in fraud detection, risk analytics, and regulatory compliance.
  • Develop strategies and frameworks for fraud analytics and revenue risk assessment and lead and oversee revenue assurance and fraud detection initiatives.
  • Collaborate with tax compliance and enforcement teams to mitigate fraud risks and ensure effective deployment of machine learning models in fraud and risk analysis.
  • Monitor the performance of fraud detection systems and optimize algorithms for improved accuracy and enhance fraud intelligence reporting through data visualization and dashboarding tools.
  • Develop and implement Artificial Intelligence (AI)-driven fraud detection models to identify anomalies in tax compliance while fostering collaboration with internal and external stakeholders to strengthen fraud management efforts..
  • Conduct risk assessments to detect potential revenue leakages and analyse transactional data to uncover fraud patterns and recommend preventive measures
  • Provide training and mentorship on fraud analytics methodologies and ensure adherence to compliance, risk management, and data governance policies.
  • Develop and manage the budget for the Revenue Assurance & Fraud Analysis function and account for allocated imprest.


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