► Contribute to people initiatives including recruiting and retaining FIDS professionals.
► Maintain an educational program to continually develop personal skills.
► Understand and follow workplace policies and procedures.
As a Data Analytics Assistant Manager you will ideally have the following skills and experience:
► Perform complex forensic data analytics procedures.
► Supervise and provide on the job training to less experienced resources and perform technical review of analytics
► Reactive and proactive forensic analysis of structured and unstructured data
► Database management software, statistical and predictive machine learning software and link analysis / data visualization software
► Data collection and load, data quality assessment, data cleansing and enhancing, complex data transformation, relationship profiling, sampling and extrapolation, segmentation, statistical modelling, segmentation, structured data mining, text mining and analytical matching
► Statistical analysis and modelling tools such as SAS, SPSS, Statistical, S-plus or similar packages, data manipulation language such as SQL
► Predictive modelling technologies such as SAS Enterprise Miner, KXEN, SPSS Clementine, SQL Server 2005 data mining extensions, Register Machine Learning Genetic Programming engine and/or other similar suites of tools
► Data from accounting systems application such as SAP, Oracle / PeopleSoft, JD Edwards, MFG Pro, Extensity, Sage, Coda or other similar ERP applications
► Helping clients leverage knowledge from their data for measurement of fraud risks and losses, prevention, continuous monitoring, detection and investigation of occupational fraud, waste and abuse, financial crime and other non compliant activities
► Liaising with clients, internal and external auditors, in-house counsel, external legal teams, witnesses, police, criminal prosecutors and regulatory enforcers
► Multi-National /cross border or jurisdictional investigations