The consultants will support the GIA team with specific expertise and solutions.
A mostly automated procurement data analytics model is expected to enhance the identification of potential material fraud exposures.
The main tasks include identifying deviations and analysing procure-to-pay transactions, such as invoices without purchase orders, duplicate payments, or master data changes.
Consultancy companies with ready-made solutions are preferred for working with large client data sets.
responsibilities :
Support GIA team with specific expertise and solutions
Enhance identification of potential material fraud exposures through procurement data analytics
Identify deviations from the designed procurement activities in selected stages of the end-to-end process
Analyse procure-to-pay transactions for indicators of potential fraud and misconduct
Provide dedicated solutions to analyse client’s large data sets of procurement and payment transactions
requirements-expected :
Recognition of procure-to-pay process in large (preferably multinational) companies
Data analytical skills and solutions to analyse large data sets with predefined scenarios
Track record of similar projects conducted in the last 1-3 years
