What you will do :
Carry out reactive and proactive data analysis of large datasets using a wide range of database management systems, BI reporting and visualisation software
Work with clients, fraud investigators, internal and external auditors
Work in forensic technology labs and onsite with clients to help leverage knowledge from their data to measure fraud risks and losses
Assist with future prevention, continuous monitoring, detection and investigation of occupational fraud, waste and financial crime.
Develop supporting material on the benefits of forensic data analysis for clients and fraud examiners, explaining how it can be applied to their issues
Experience of data extraction, analysis, cleansing, quality and manipulation skills
Experience of handling large data volumes (incl. efficiency and scalability concepts)
Experience in big data analysis and manipulation with any of the following software : MySQL, SAS, and SPSS.
Knowledge of statistical techniques and analysis (such as regression, clustering, sampling, social network analysis)
Understanding of at least one scripting language such as Python, PHP, VB; and at least one programming language such as Java, C++, C#, Matlab or R.