Consultant, Forensic Data Analytics - Melbourne
Choose a career that connects you globally on a daily basis Variety of work and career development opportunities Supportive mentoring and on-boarding programs to help set you up for success About EY https://www.ey.com/au/shape-the-world The opportunity We are looking for a Consultant, Forensic Data Analytics within the Forensic Technology & Discovery Services team in our Melbourne office and is offered on a full time basis.
This is an excellent career opportunity for the right candidate seeking to pursue a career in Forensic Data Analytics. The Forensic Data Analytics team is a global group of technical specialists that practice the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires FDA team members to apply their specialist working with large datasets from disparate data sources to support fraud investigations and disputes for our clients covering a range of industries.
This is achieved by combining deep forensic investigation knowledge with advanced data analytics techniques such as investigative data linking, social network analysis, natural language processing, machine learning algorithms and predictive modelling. Your key responsibilities Be passionate about data analytics and the opportunities it provides to organisations. Work with the FTDS and the broader Forensics teams to assist well known Australian and global companies across a broad range of industries address their fraud risk.
Consult with multiple stakeholders; develop forensic test procedures, data metrics and segmentations. Extract, validate, transform and load data from multiple data sources. Undertake extensive analytical reviews of client data to produce insights that will assist our clients including but not limited to: detection of irregular financial transactions; exposing anomalous employee behaviour; and identification of error and waste in their operations.
Make a positive contribution to the improvement of our clientâ€™s fraud control environment. Support senior team members in the preparation and presentation of client deliverables in a clear, structured manner. Provide input into strategic Big Data initiatives, new service offerings and programs.
Skills and attributes for success Tertiary qualification in a relevant technical field (Information Systems, Finance, Statistics, Mathematics, Linguistics) Excellent skills querying data using tools such as SQL, and presenting results through visualisation tools such as Tableau A demonstrated understanding of main-stream relational database systems (Oracle, SQL Server, MySQL, etc.) and enterprise software solutions (SAP, JD Edwards, PeopleSoft, Chris21, etc) A working knowledge of financial processes and the application thereof in the execution of data analytics Able to hypothesise, analyse and draw conclusions from financial and operational data and perform in-depth root-cause-analysis A demonstrated a....